DESIGN AND CHARACTERISATION OF WIDEBAND ANTENNAS FOR
MICROWAVE IMAGING APPLICATIONS
ROSHAYATI YAHYA @ ATAN
A thesis submitted in fulfilment of the
requirements for the award of the degree of
Doctor of Philosophy (Electrical Engineering)
Faculty of Electrical Engineering
Universiti Teknologi Malaysia
NOVEMBER 2016
iii
Specially dedicated to my children Nuralya Raihanah and Alif Raihan,
my husband Mohd Fariz, my mother Aminah Abdullah, my dearest siblings,
and in the memories of my father, Yahya @ Atan bin Mohamed
iv
ACKNOWLEDGEMENT
First and foremost I would like to thank Allah, who has blessed me towards the
completion of my thesis. I would like to thank my supervisor Assoc. Prof. Dr.
Muhammad Ramlee bin Kamarudin, and my co-supervisor Dr. Norhudah binti Seman,
for their invaluable role, guidance, continuous motivations and courage throughout my
study's journey. I would like to thank Universiti Tun Hussein Onn Malaysia (UTHM)
for sponsoring my study.
I would also like to take this opportunity to acknowledge technicians, Mr.
Mohamed Abu Bakar, Mr. Norhafizul Ismail, and Mr. Sharul Shaari for their technical
assistance. Thank you also for WCC staffs for their support and courage. Also, I am
grateful to have supportive friends, Nur Shazwani Mohd Noor, Alyaa Syaza Azini, Siti
Fairuz Roslan, Siti Nurhafizah Saadon, Khairul Huda Yusuf, and Wizatul Izyan Wahid,
Noor Farha Ngabas, Nurhafizah Mohd Hanafi, and Vickneswary Jayapal.
My greatest gratitude to my family especially to my mother Aminah Abdullah,
my late father Yahya @ Atan bin Mohamed, my dearest siblings Rosli, Rosnawati,
Rosman, Rosniwati, and Rosmizan, and my husband Mohd Fariz for their support and
understanding that kept me going all the way through my PhD's study. I'm highly
indebted to them.
Lastly, thanks to all my friends and people who have helped and supported me
in different ways. Their contributions are greatly appreciated.
v
ABSTRACT
Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are well
known equipments used to generate images to aid in diagnostic procedure. However,
the imaging equipments have some limitations whereby the equipments are very
expensive and therefore, they are not always accessible in many medical centres.
Besides, the equipments are bulky and less mobility. Moreover, existing CT cannot be
used frequently on the human body because the scanner exposes patients to more
radiations of ionised frequency. The limitations of the equipment create a need to
design an alternative imaging method which is relatively low cost, small in size, has
high mobility, and non-ionise frequency. This research is to design an antenna for
microwave imaging, namely corrugated u-slot antenna at 1.17-5.13 GHz with the
reference of S11 less than -10 dB. Two corrugated u-slot antennas; namely antenna 1
and antenna 2 are placed on a mirror side of skull phantom to examine their ability to
detect an object inside the skull. VeroClear-RGD810 skull phantom containing water is
used, and the obtained results are verified using ZCorp zp-150 skull phantom which has
approximately similar permittivity. Both the antennas are tested to detect the object
which is located at 40 mm and 80 mm from the respective examined antenna. An
Inverse Fast Fourier Transform (IFFT) technique is used to analyse the time domain
reflection pulse according to the dielectric properties difference, as the electromagnetic
wave propagates through the skull. The results show that the antenna 1 is able to detect
the object faster than the antenna 2 for both skulls, due to inconsistent thickness of the
phantoms. Furthermore, the antennas are fabricated in adjacent to measure
decomposition and superposition specific absorption rate (SAR) in Specific
Anthropomorphic Mannequin (SAM) head phantom at 1800 MHz and 2600 MHz. The
maximum allowable SAR in head is 2 W/kg at 10 g contiguous tissue which is referred
to International Commission on Non-Ionizing Radiation Protection (ICNIRP)
guideline. Based on the measured results, superposition SAR of the antenna can reach
up to ±12% of the maximum decomposition SAR. This research forms a significant
contribution to medical engineering field in designing a corrugated u-slot antenna that
serves to detect an abnormality inside human head at 1.17-5.13 GHz. The designed
antenna satisfies the SAR standard, which is required in microwave imaging
applications.
vi
ABSTRAK
Pengimejan Salunan Magnet (MRI) dan Tomografi Berkomputer (CT)
merupakan peralatan terkenal yang digunakan untuk menjana imej bagi membantu
dalam tatacara diagnosis. Walau bagaimanapun, peralatan pengimejan tersebut
mempunyai beberapa kekurangan yang mana peralatan tersebut adalah sangat mahal
dan justeru, ia tidak selalu dapat diakses di kebanyakan pusat perubatan. Selain itu,
peralatan tersebut adalah besar dan kurang kemudahgerakan. Tambahan pula, CT yang
sedia ada tidak boleh digunakan secara kerap kepada tubuh badan manusia kerana
imbasan mendedahkan pesakit kepada lebih banyak radiasi daripada frekuensi terion.
Had peralatan ini mewujudkan keperluan untuk merekabentuk satu kaedah pengimejan
alternatif dengan kos yang agak rendah, bersaiz kecil, kebolehgerakan yang tinggi, dan
frekuensi yang tak-terion. Kajian ini bertujuan untuk merekabentuk antena bagi
pengimejan gelombang mikro, iaitu antena alur-u beralun pada 1.17-5.13 GHz dengan
rujukan S11 kurang daripada -10 dB. Dua antena alur-u beralun; iaitu antena 1 dan
antena 2 diletakkan secara bertentangan di sisi fantom untuk memeriksa keupayaan
mereka bagi mengesan objek dalam tengkorak. Fantom tengkorak VeroClear-RGD810
yang mengandungi air digunakan, dan keputusan yang diperoleh disahkan
menggunakan fantom tengkorak ZCorp zp-150 yang mempunyai kebertelusan yang
hampir sama. Kedua-dua antena diuji bagi mengesan objek yang terletak pada 40 mm
dan 80 mm dari antena yang diperiksa. Teknik Jelmaan Fourier Pantas Songsang
(IFFT) digunakan untuk menganalisis denyut pantulan domain masa berdasarkan
perbezaan sifat dielektrik, apabila gelombang elektromagnet merambat melalui
tengkorak. Keputusan menunjukkan bahawa antena 1 dapat mengesan objek lebih cepat
daripada antena 2 bagi kedua-dua tengkorak, disebabkan ketebalan fantom yang tidak
konsisten. Kemudian, antena-antena ini difabrikasi bersebelahan bagi mengukur kadar
penyerapan tertentu (SAR) uraian dan tindihan dalam fantom kepala Patung
Antropomorfik Khusus (SAM) pada 1800 MHz dan 2600 MHz. SAR maksimum yang
dibenarkan dalam kepala adalah 2 W/kg pada 10 g tisu berdampingan dirujuk
berdasarkan garis panduan Suruhanjaya Antarabangsa Perlindungan Sinaran Tak-
Mengion (ICNIRP). Berdasarkan keputusan yang diukur, SAR tindihan bagi antena
boleh mencapai sehingga ±12% daripada SAR uraian maksimum. Kajian ini
membentuk satu sumbangan yang bermakna terhadap bidang kejuruteraan perubatan
dalam merekabentuk antena alur-u beralun yang berfungsi untuk mengesan
keabnormalan dalam kepala manusia pada 1.17-5.13 GHz. Antena yang direkabentuk
memenuhi piawai SAR, yang diperlukan dalam aplikasi pengimejan gelombang mikro.
vii
TABLE OF CONTENTS
CHAPTER TITLE PAGE
DECLARATION ii
DEDICATION iii
ACKNOWLEDGEMENT iv
ABSTRACT v
ABSTRAK vi
TABLE OF CONTENTS vii
LIST OF TABLES xi
LIST OF FIGURES xiii
LIST OF ABBREVIATION xix
LIST OF SYMBOLS xxi
LIST OF APPENDICES xxii
1 INTRODUCTION 1
1.1 Introduction 1
1.2 Problem Statement and Motivation 3
1.3 Objectives of the Research 4
1.4 Scope of the Research 4
1.5 Contribution to the Knowledge 5
1.6 Thesis Outline 6
2 RESEARCH BACKGROUND 8
2.1 Introduction 8
2.2 Microwave Imaging 9
viii
2.2.1 Radar-Based Microwave Imaging 9
2.2.2 Detection Concept 11
2.3 Human Head 14
2.3.1 Dielectric Properties of Human Head 14
2.3.2 Human Head Phantom 15
2.4 Microwave Imaging Antennas for Tumour
Detection 18
2.4.1 Review on Flexible Antenna Design 32
2.5 The Detection of Buried Object 37
2.6 Specific Absorption Rate (SAR) 42
2.6.1 Standard SAR limit 43
2.6.2 Review on SAR 44
2.7 Summary 50
3 RESEARCH METHODOLOGY 52
3.1 Introduction 52
3.2 Research Methodology 53
3.3 Antennas Design Specifications 59
3.4 Substrate and Radiating Elements 60
3.5 Simulation and Programming Tools 62
3.5.1 Simulation Tools 62
3.5.2 Programming Tool 64
3.6 Fabrication Process 64
3.7 Dielectric Measurement 68
3.8 Reflection Coefficient Magnitude Measurement 70
3.9 Radiation Pattern and Gain Measurement 71
3.10 Simulation and Measurement Setup for Buried
Object Detection 73
3.11 Simulation and Measurement Setup for SAR
Investigation 80
3.12 Summary 88
ix
4 DEVELOPMENT OF TEXTILE MICROWAVE
IMAGING ANTENNAS AND VARIOUS
PERFORMANCE INVESTIGATIONS 90
4.1 Introduction 90
4.2 Antenna Designs and Development 91
4.2.1 Koch-slotted Antenna 91
4.2.2 Corrugated U-slot Antenna 103
4.3 Investigation on the Bending Effect to the
Performance of Antenna 115
4.4 Investigation on the Influenced of Water to the
Performance of Antennas 125
4.5 Comparison with Other Antenna Designs 127
4.6 Summary 128
5 THE DETECTION OF A BURIED OBJECT INSIDE
THE LOSSY MEDIUM 129
5.1 Introduction 129
5.2 Formulation on Elapsed Time Taken for Detecting
Object 130
5.3 The Detection of Folded Aluminium Foil in Oil
Filled Container 132
5.4 The Detection of an Object Inside the Skull
Phantom 135
5.4.1 Results and Discussions on the Object
Detection inside Veroclear Skull Phantom 138
5.4.2 Results and Discussions on the Object
Detection inside Zp-150 Skull Phantom 143
5.5 Summary 149
6 INVESTIGATION OF SPECIFIC ABSORPTION
RATE (SAR) IN HUMAN HEAD 151
6.1 Introduction 151
6.2 Simulated SAR in Voxel Head Phantom 152
x
6.3 Measured SAR Distribution in SAM Head
Phantom Using Decomposition Method 155
6.4 SAR Distribution in SAM Head Phantom Using
Superposition Method 161
6.5 Comparison to Other Research 169
6.6 Summary 171
7 CONCLUSION AND FUTURE WORKS 174
7.1 Conclusion 174
7.2 Future Works 175
REFERENCES 178
Appendices A-E 196-206
xi
LIST OF TABLES
TABLE NO. TITLE PAGE
2.1 Dielectric properties of tissues in human head at 3.5 GHz
based on [31] 15
2.2 Summary on the MI antennas for tumour detection 27
2.3 Summary on flexible antenna 35
2.4 SAR reference standards and limits [101] 43
2.5 Summary on SAR 48
3.1 Antenna design specifications 60
3.2 Substrate and radiating element technical specifications 61
4.1 Antenna design of koch-slotted antenna 92
4.2 Antenna parameters and optimized dimensions 97
4.3 Numerical and experimental gain and efficiency of koch-
slotted antenna 102
4.4 Parameters and optimized dimensions of slotted antenna 105
4.5 The dimensions of the corrugation in Figure 4.10 108
4.6 The simulated and measured bending effect on antenna
main lobe 125
4.7 Comparison of the proposed antenna to other antennas 127
5.1 εr of medium at 3.5 GHz 131
5.2 The simulation, measurement, and calculation results of
the detection folded aluminium foil inside an oil filled
container 135
5.3 Detail dimension of skull phantom 137
xii
5.4 Travelling time taken from transmitters to the object
(veroclear)
143
5.5 Travelling time taken from transmitters to the object (zp-
150) 148
6.1 Measured SAR in SAM head model at 1800 MHz 157
6.2 Measured SAR in SAM head model at 2600 MHz 159
6.3 The simulated and measured gain of the multi-antenna 164
6.4 Average superposition SAR level at 1800 and 2600 MHz 167
6.5
Comparison of this research work to others on SAR level
in human head phantom 169
xiii
LIST OF FIGURES
FIGURE NO. TITLE PAGE
2.1 The radar-based concept of MI 10
2.2 General view of microwave imaging system [15] 11
2.3 Plane wave reflection from an arbitrary medium [16] 12
2.4 Fourier transforms pair [17] 13
2.5 Human head layers cross sectional view [26] 14
2.6 Computer aided design of the human head phantom [36] 16
2.7 Four-shell domain of human head structure [37] 17
2.8 The tissue mimicking head phantom [38] 17
2.9 An array antenna that built up in helmet shape [46] 18
2.10 Compact antenna for microwave imaging and
hyperthermia treatment of brain tumour [49] 19
2.11 Multi-band slot-loaded patch antenna [50] 20
2.12 Three dimensional folded wideband antenna [55] 20
2.13 Miniaturized tapered slot antenna [59] 21
2.14 Configurations of MI system and the S11 for brain tumour
detection [60] 22
2.15 Metal plate of ground plane antenna [65] 22
2.16 Prototype and schematic of the stacked patch antenna
[66] 23
2.17 An arrangement of the antenna with differential feeding
network [69] 24
2.18 Tapered slot antenna geometry [72] 24
2.19 The geometry of the elliptical antenna [74] 25
xiv
2.20 Prototype of the BAVA and BAVA-D antennas [76] 26
2.21 Polyethylene Terephtalate (PET) polymer antenna [78] 33
2.22 Rectangular patch antenna [80] 34
2.23 Monopole zip antenna [81] 34
2.24 UWB textile antenna prototype [82] 35
2.25 The results of image reconstruction based electrical
properties of the breast tissue using (a) FDTD method and
the Gauss-Newton algorithm and (b) Method of moment
and the Simplex algorithm [95] 38
2.26 Experimental setup of microwave imaging system [96] 39
2.27 An UWB antenna illuminating a container of vegetable
oil consisting 6 mm diameter plastic straw with water
[97] 40
2.28 Configuration of the experimental setup [98] 40
2.29 Measured reflection coefficient of single probe antenna
[98] 41
2.30 Effect of removing the copper target [98] 42
2.31 System setup for multi-antenna SAR investigation [108] 45
2.32 Co-located and separated antenna configurations [109] 46
2.33 SAR of antenna measurement with Dasy-4 system [113] 47
3.1 General research work methodologies 54
3.2 Flow chart of antenna design and investigations 56
3.3 Flow chart for the process of the object detection 57
3.4 Flow chart of SAR investigations research 58
3.5 View of Voxel family data in CST simulator 63
3.6 Silver plated nylon conductive thread [115] 65
3.7 Silhouette cutting machine and tools 65
3.8 Fabrication process using Silhouette Cameo cutter
machine 67
3.9 Dielectric measurement tool [117]: (a) Dielectric probe
configurations (b) Measurement setup 68
3.10 The descriptions of an open-ended coaxial probe outer
diameter 69
3.11 Coaxial probe measurement method (a) jean (b) liquid 70
xv
3.12 The Vector Network Analyzer E5071C 71
3.13 Calibration setup of radiation pattern and gain
measurement 72
3.14 Radiation pattern and gain measurement configuration of
the proposed antenna 73
3.15 Illustration on the concept of the detection of buried
object 74
3.16 Measurement setup for detecting a folded aluminium foil
buried in the oil filled container (First measurement) 75
3.17 The closed view of locating the folded aluminium foil
into the oil 76
3.18 (a) The prototype of two identical antennas combined
using rubber band and (b) veroclear bar 77
3.19 (a) Measurement setup arrangement (b) Front view of the
measurement setup and (c) Top view of locating object
inside the skull phantom (Second measurement) 78
3.20 Measurement setup using zp-150 skull phantom (Third
measurement) 79
3.21 Single antenna attached on the human head model (CST
Voxel Family) 81
3.22 An illustration of the rectangular waveguide excitation
port in CST simulator 82
3.23 The configuration of two antennas on the Voxel human
head model 82
3.24 Measurement setup of the transmitted power of the
antenna 84
3.25 Maximum allowable SAR scanning area 85
3.26 SAR measurement setup of Comosar Satimo 86
3.27 SAR measurement configurations and setup in SAM head
model 87
4.1 Cross section of a Coplanar Waveguide (CPW) structure 94
4.2 The cpw-fed of square slot and koch-slotted antenna
design 96
xvi
4.3 S11 of different ground implementation of antennas that
presented in Figure 4.2 (a) and (b) 97
4.4 The prototype and S11 results of koch-slotted antenna 100
4.5 Radiation patterns at (a) 2 GHz (b) 4 GHz and (c) 6 GHz 101
4.6 Surface current of koch-slotted antenna 103
4.7 U-slot wideband antenna 104
4.8 The S11 comparison of different value of p2 106
4.9 The implementation of steps and arc shape on the ground 107
4.10 The parametric dimension of corrugated u-slot antenna 108
4.11 The optimization on the depth of the corrugate dimension 109
4.12 S11 of the implementation of corrugations on the antenna
ground 111
4.13 The prototype and the S11 of the corrugated u-slot antenna 112
4.14 Simulated and measured radiation pattern of the
corrugated u-slot antenna at 1.8 and 2.6 GHz. 113
4.15 Simulated and measured gain of the proposed antenna 114
4.16 Surface current distribution of corrugated u-slot antenna 115
4.17 Illustrations of the antenna under various bending
conditions 116
4.18 Simulated result of L-convex bending condition at
various radiuses 117
4.19 Simulated result of L-concave bending condition at
various radiuses 118
4.20 Simulated result of W-convex bending condition at
various radiuses 119
4.21 Simulated result of W-concave bending condition at
various radiuses 120
4.22 Measurement of the antenna under various bending
conditions 121
4.23 Simulated and measured result of various bending
conditions 122
4.24 Measurement of various bending results with respected to
the reference antenna 123
xvii
4.25 Comparison of simulated and measured koch-slotted
antenna under bending conditions. (a) L-convex, (b) L-
concave, (c) W-convex, and (d) W-concave. 124
4.26 The process of wetted, washed, and re-dried on the koch-
slotted antenna 125
4.27 Measured S11 of antenna under wetted, washed, and re-
dried with respect to the reference flat antenna 126
5.1 The time domain reflections of oil filled container based
on the measurement data 133
5.2 Simulation and measurement actual response of the
detected aluminium foil inside the oil filled container 134
5.3 The illustration of skull structure for the used in
calculation 136
5.4 Measured time domain reflections of an object which
separately located 40 mm and 80 mm from Ant 1 in
veroclear skull phantom 139
5.5 Reflection pulse of the detected object inside veroclear
skull phantom which located at 40 and 80 mm from Ant 1 140
5.6 Measured time domain reflections of an object which
separately located 40 mm and 80 mm from Ant 2 in
veroclear skull phantom 141
5.7 Reflection pulse of the detected object inside veroclear
skull phantom which located at 40 and 80 mm from Ant 2 142
5.8 Measured time domain reflections of an object which
separately located 40 mm and 80 mm from Ant 1 in zp-
150 skull phantom 144
5.9 Reflection pulse of the detected object inside zp-150 skull
phantom which located at 40 and 80 mm from Ant 1 145
5.10 Measured time domain reflections of an object which
separately located 40 mm and 80 mm from Ant 2 in zp-
150 skull phantom 146
5.11 Reflection pulse of the detected object inside zp-150 skull
phantom which located at 40 and 80 mm from Ant 2. 147
xviii
6.1 Simulated scattering parameters of two antennas in air
and on the human head 152
6.2 SAR in human head with the implementation of single
and two antennas. 154
6.3 Maximum SAR distribution using decomposition method
at 1800 MHz with 24 dBm excitation power 156
6.4 Maximum SAR distribution using decomposition method
at 2600 MHz with 24 dBm excitation power 158
6.5 The prototype and scattering parameters of the multi-
antenna 162
6.6 Simulated and measured radiation pattern of the multi-
antenna at (a) 1800 MHz and (b) 2600 MHz. 163
6.7 SAR of the multi-antenna at 1800 MHz and 20 dBm input
power 165
6.8 SAR distribution of the multi-antenna at 2600 MHz and
20 dBm input power 166
xix
LIST OF ABBREVIATIONS
ACA - Australian Communications Authority
ANSI - American National Standards Institute
BAVA - Balanced Antipodal Vivaldi Antenna
BAVA -D - Balanced Antipodal Vivaldi Antenna with Director
BW - Bandwidth
CNC - Computerized Numerical Control
CPW - Coplanar Waveguide
CSF - Cerebrospinal Fluid
CST - Computer Simulation Technology
CT - Computed Tomography
CW - Continuous Wave
DP - Dielectric Properties
EEG - Electroencephalography
EM - Electromagnetic
FCC - Federal Communications Commission
FDTD - Finite-Difference Time Domain
FT - Fourier Transform
FFT - Fast Fourier Transform
FPIFA - Fractal Planar Inverted-F Antenna
ICNIRP - International Commission on Non-Ionising Radiation
Protection
IEC - International Electrotechnical Commission
IEEE - Institute of Electrical and Electronics Engineers
IFFT - Inverse Fast Fourier Transform
ISM - Industrial, Scientific, and Material
MI - Microwave Imaging
xx
MIMO - Multiple Input Multiple Output
MRI - Magnetic Resonance Imaging
NCI - National Cancer Institute
VNA - Vector Network Analyzer
PCPWM - Plain CPW Monopole
PD - Power Divider
PET - Polyethylene Terephtalate
PPIFA - Planar Inverted-F Antenna
PVC - Polyvinyl Chloride
R2R - Roll-to-roll
RL - Return Loss
SAM - Specific Anthropomorphic Mannequin
SAR - Specific Absorption Rate
SIRIM - Standards and Industrial Research Institute of Malaysia
US - United State
UWB - Ultrawideband
TASPS - Time Averaged Simultaneous Peak SAR
xxi
LIST OF SYMBOLS
ε - Permittivity
εr - Relative permittivity / Dielectric Constant
εreff - Effective dielectric constant
ε' - Real permittivity
ε" - Imaginary permittivity
ε0 - Permittivity of freespace
μ0 - Permeability of freespace
σ - Conductivity
Ei - Incident wave
Et - Transmitted wave
Er - Reflected wave
f0 - Frequency limit
fr - Resonance frequency
fl - Lower frequency
fh - Higher frequency
lp - length of radiating patch
t - Time
wp - Width of radiating patch
h - Substrate thickness
∆L - Extension of length
xxii
LIST OF APPENDICES
APPENDIX TITLE PAGE
A List of publications 196
B Measured permittivity of jean substrate 198
C Calculation of the elapsed time for detecting folded
aluminium foil in oil filled container
200
D Calculation of the elapsed time for detecting object
inside human skull phantom
201
E Matlab programming 203
1
CHAPTER 1
INTRODUCTION
1.1 Introduction
According to the National Cancer Institute report, 4.4% over 100000 persons'
death due to brain cancer in 2012 [1]. This number is predicted to rise by 33.3% in 2015
based on statistical trends since 1990. Even though diagnostic devices such as Magnetic
Resonance Imaging (MRI) and Computed Tomography (CT) scans are commonly used
for diagnostic procedures, the equipments still not widely available at all medical
centres. This is due to their biggest drawback, which is very high cost. Hence, the
diagnostic and detection process could be delayed due to high diagnostic cost. Therefore,
an alternative lower cost device that can be implemented for diagnostic purpose is
required.
An alternative lower cost method that can create a picture of body can be
achieved by using microwave imaging (MI). MI is a technique that has an ability to
detect the presence of abnormality or object embedded in the scanning area, based on the
contrast in dielectric properties (DP) of object as compared to its surrounding. The
contrast of DP will result to the scattering signals which further indicate the occurrence
of an object and its locality. Since the detection of an object can be achieved by the
study of the scattered signals, commonly used equipment in the communication field,
2
such as vector network analyzer (VNA) can be used for the characterization and
analysis of these signals. Thus, this makes the MI method relatively low cost as
compared to CT and MRI.
There are many advantages of MI in detecting tumoureither in breast or in brain.
MI that uses non-ionizing radiation does not cause any adverse health effects towards
human tissues. Since MI detects the tumour based on the dielectric contrast, there is a
high possibility of early stage cancer detection and diagnostic. Moreover, in breast
cancer detection, MI gives more comfort to the patient as compared to the breast
compression during mammography process.
There are growing numbers of MI detector antenna designed by researchers
which can provide comfort to the user. Although, there is no restriction for the design
frequency for MI antenna, however, narrow bandwidth (BW) produces low image
quality as compared to wide BW antenna as stated in [2]–[4]. Thus, the greater the
antenna BW, the better will be the quality of resulted image, which is also known as
resolution of image.
Since the implementation of MI antenna is related to the human body, it is very
important to consider specific absorption rate (SAR) into account. Antenna being
designed for tumour detection purpose must comply with the established SAR standard
in order to protect human cell from adverse health effects. Thus, the following section
highlights the motivation towards this research study.
3
1.2 Problem Statement and Motivation
The effective imaging devices of Magnetic Resonance Imaging (MRI) and
Computed Tomography (CT) provide the diagnostic for the detection of tumour such as
in breast and brain. However, the cost of these devices is very expensive and leads to
high diagnostic expenditure. Furthermore, these devices are bulky and huge in size,
allowing less mobility and require large installation area. Moreover, the existing CT
cannot be used frequently on human because the scanner exposes patients to radiations
of ionised frequency. Hence, in order to improve the drawback of the available imaging
devices due to high expenditure and bulky size, MI technique has been introduced.
Therefore, in this research work, antennas proposed for MI applications are studied.
In the practice of MI, many antennas are designed at narrowband frequency. The
drawback of narrowband frequency in imaging is that it will lead to low quality of
image. Therefore, wideband antenna is required to promise higher quality of the
scanned image. Most of the wideband antennas proposed for MI are designed on hard
structure of printed microstrip board. In addition, a wideband imaging system that was
proposed for detecting brain tumour reported in [5] is too bulky. Meanwhile, the patient
needs to hold static during the diagnostic process. Thus, the process will discomfort the
patient. Hence, flexible material is seen to be the best option for the on-head bending
capability and for the ease of user. As the research on the detection of tumour in human
head using MI is still in small numbers, it is significant to investigate the existence of
abnormality in the human head using radar-based concept.
Moreover, the implementation of antenna on the human head produces energy
which can possibly harm the brain cells. The specific absorption rate (SAR) in human
head is different at various frequencies and transmitted powers due to dissimilar energy
absorbed to the head. In addition, the published investigations on SAR are mostly based
on simulated investigations, which is not able to represent the real SAR. Furthermore,
the simulated investigations are performed on the implementation of single antenna on
the head. Thus, it is very significant to measure and monitor SAR in human head at
different frequency and powers using single and multi-antenna on the head.
4
1.3 Objectives of the Research
According to the problem statement and motivation to the research study in
Section 1.2, there are three main objectives aimed to be achieved at the end of this
study. The objectives of this research are:
1) To design and investigate the characteristic of textile antenna at 1-6 GHz for
microwave imaging applications.
2) To measure the capability of the designed antenna in detecting buried object
inside the skull phantom.
3) To measure and analyze the specific absorption rate (SAR) produced by the
designed antenna in the Specific Anthropomorphic Mannequin (SAM) head
phantom using decomposition and superposition method.
1.4 Scope of the Research
In this research study, several works are conducted in order to achieve the aimed
objectives. The scope of this research work is summarized in this section.
First, the antenna for microwave imaging application is designed for wideband
frequency between1-6 GHz. A flexible substrate and radiating elements are selected due
to the flexibility in detection purpose. The coplanar waveguide (CPW) fed with slotted
ground is chosen to facilitate the fabrication process.
Secondly, this research is focused to detect an object located inside water filled
skull phantom. In order to prove the existence of the object, it is adequate by showing
the related peak or pulse which is in time domain representation.
5
Finally, SAR measurements in SAM head phantom are conducted using multi-
antenna at two positions of vertical and horizontal configurations. The measurement is
performed at the frequencies of 1800 MHz and 2600 MHz at various input powers from
16-24 dBm.
1.5 Contribution to the Knowledge
The contributions of this research work are listed below.
1) A flexible textile antenna (corrugated u-slot antenna) that satisfies SAR has
been designed at 1-6 GHz for microwave imaging applications. This antenna
has high potential to serve in medical engineering field for detecting
abnormality inside human head. Since the antenna shows good performance
under various bending radiuses, the antenna can also be used on other curvy
parts of human body for scanning and diagnostic purposes.
2) This antenna that can operate under wet condition makes the antenna can be
attached into body-worn devices to operate at different weather conditions;
sunny and rainy days.
3) The contribution of this study is when the designed antenna able to detect
abnormality inside the skull and other curvy parts of human body based on
inverse scattering technique that commonly used in radar-based imaging.
4) SAR in SAM head phantom has been practically measured using decomposition
and superposition methods with respect to the changes of position, frequencies,
and powers.
6
1.6 Thesis Outline
This thesis consists of seven chapters. Chapter 1 describes the problem
statement and motivation to the field of study, followed by objectives. Few scopes have
been decided as the study limitations which aimed for the contribution to the
knowledge.
Chapter 2 presents the literature review of the field being studied. It consist of
the background study of microwave imaging, the developed antennas for microwave
imaging, the techniques used for detection, human head properties, and the standard
SAR limits.
Chapter 3 shows the methodology of the research. The specifications and
material used in designing antenna for head MI are listed out. The simulation and
programming tools are also described, and the fabrication steps are explained in detail.
The dielectric measurement method of the jean substrate, solid material, and liquid are
demonstrated. Furthermore, measurement method on antenna performance,
experimental setups for detecting object and specific absorption rate (SAR) are shown.
Chapter 4 describes the designs of proposed textile antennas and the conducted
investigations. Performance of antenna under bending, wetted, and washed conditions
are presented. The results are analyzed through the performance of the related antenna
in term of reflection coefficients.
Chapter 5 discusses about the detection of an object inside the human skull
phantom. The concept of detection of a buried object has been proved using a folded
aluminium foil in the oil filled container. Furthermore, results of the detection of an
object inside the skull phantom at two different locations of 40 mm and 80 mm from the
transmitter are compared to the computed and simulated outcomes.
7
Chapter 6 shows the SAR measurement results in SAM head model at 1800
MHz and 2600 MHz frequencies. The implementation of multi-antenna for the SAR
investigation using decomposition and superposition method are analyzed. SAR
produced by the antenna configured in horizontal and vertical positions, excited with
various input powers are being studied.
Meanwhile, Chapter 7 provides the conclusion of the research study with a
number of suggestions for future work that can be carried out to enhance the proposed
research work.
8
CHAPTER 2
RESEARCH BACKGROUND
2.1 Introduction
This chapter presents the background of microwave imaging (MI) with radar-
based concept. The radar-based MI consists of two main parts, which are hardware and
algorithm. This chapter focuses only on the hardware part. MI hardware consists of the
transmitter antenna, thus designs of antennas which applied for MI are reviewed based
on the material, design, and flexibility. Since the radar-based MI uses dielectric property
(DP) contrast for the detection, the DP of human head is presented instead of breast.
Human head has inhomogeneous tissue and more challenging in tumour detection
system. Furthermore, as the antenna used for MI is intentionally implemented on human
body, SAR of antennas that used near to human body is presented. Some reviews on the
background of SAR and established international standard SAR limits are discussed at
the end of this chapter prior to the chapter summary.
9
2.2 Microwave Imaging
Microwave imaging (MI) can be defined as a sensing technique which has
capability to detect the existence of embedded object that buried in a given prospect
using electromagnetic (EM) wave investigation [6]. This technique has been used in
many fields such as industrial, civil, geophysical prospecting, and biomedical
engineering [7]–[11]. Recently in biomedical engineering, MI has shown a great deal of
interest in cancer detection, based on microwave frequency interrogation.
There are two microwave imaging methods which can be applied for the
detection of tumour and abnormalities inside the human body, which are tomography
[12] and radar-based technique [13]. In microwave tomography, EM radiation is used
and the inverse scattering algorithm is applied to reconstruct shape, location, and the DP
of the interest object. Meanwhile, radar-based approach utilizes simpler and faster
computational to identify the presence and location of the tumour using significant
backscattered signal. Here, this study will focus on the radar-based MI. Detail concept
on microwave radar imaging is presented in the following section.
2.2.1 Radar-Based Microwave Imaging
There are three different configurations of a microwave radar system which are
mono-static, bi-static, and multi-static. In the mono-static configuration, transmitter and
receiver is collocated as shown in Figure 2.1 (a). Since there is only an antenna is
applied, the reflection coefficient, S11 is taken for signal investigation. In the bi-static
configuration as illustrated in Figure 2.1 (b), a transmitter and receiver are located in
separate distance. Hence, the reflection and transmission coefficient is gathered.
Meanwhile, multi-static is a form of configurations which comprises of an array of
antennas, and the transmission and reflection coefficient of the array are considered. As
10
the configurations of microwave radar-based have been discussed, general view of MI
system is being detailed.
Figure 2.1: The radar-based concept of MI [14]
MI system composes of two major parts which are hardware and imaging
algorithm (post-processing). The hardware part consists of measurement
instrumentation which comprises an antenna, sample under test, measurement
equipment such as VNA, and computerizes system. In contrast, the post-processing
section involves imaging algorithms on the collected data. Overall view on general
setup of MI system is shown in Figure 2.2, which is setup in mono-static configuration.
During the imaging process, the EM wave is transmitted from the antenna at certain
frequency towards the sample. Due to the differences of electrical properties
(permittivity, ε and permeability, μ) among the imaging object and surrounding
medium, the signal is scattered and reflected in all directions. The backscattered signal
or the signal that reflected back to the direction from which it came, is then gathered by
the antenna which measured as S11 in the VNA [15].
11
Figure 2.2: General view of microwave imaging system [15]
The backscattered signal of S11 obtained from the transceiver is converted to
pulse waveform, to indicate the location of the detected object. Since this study
concentrated on the detection using mono-static configuration, the concept of object
detection which based on backscattered signal will be explained in the following
section. Nevertheless, the conversion of the backscattered signal to the pulse waveform
is also presented.
2.2.2 Detection Concept
In mono-static radar-based MI, only backscattered signal is measured, where the
location and image of the detected object is depicted from the collected data. The
detection operation is based on the contrary in electrical properties between the imaged
object and its surroundings. For instance, whenever a wave propagates from a medium
to another different medium, the signal is transmitted to that medium. However, there is
12
signal reflected back to the direction which the wave came from due to the difference in
the electrical properties of the two mediums.
Figure 2.3 illustrates the plane wave propagation from the free space to a lossy
medium [16]. Free space has permittivity and permeability of ε0 and μ0. Meanwhile, the
conductivity of free space is zero (ζ = 0). Whenever an incident wave, Ei travels along z
direction, the signal is transmitted to the lossy medium at z>0 region, which has
permittivity, permeability, and conductivity of ε, μ, and ζ. This transmitted signal is
symbolized as Et. Since the electrical properties (ε, μ, and ζ) of the lossy medium is
contradict to the free space (ε0, μ0, and ζ = 0), there is an existence of reflected signal, Er
in the z<0 region. Thus, this reflected signal that resulted from the difference of
electrical properties between the lossy medium and the free space, is analyzed for
getting useful information of the detected object and the localization.
Figure 2.3: Plane wave reflection from an arbitrary medium [16]
In localization estimation, frequency spectrum with an amplitude of A in
frequency function, is converted to time domain representation, which is in form of
pulse, h(t). A conservative method has been used for the conversion which using
Inverse Fast Fourier Transform (IFFT) technique. Equation 2.1 shows the formulation
of the IFFT in time function:
13
(2.1)
where, f0 and t are the frequency limit and time, accordingly. The Fast Fourier
Transform (FFT) and IFFT are an interrelation pair between each other and can be
indicated by (2.2):
h(t) ↔ H(f) (2.2)
where h(t) and H(f) are in time and frequency representation, accordingly. Therefore,
the Fourier Transform (FT) pair of pulse frequency waveform can be accomplished as
in Figure 2.4. Thus, by referring to the pulse that indicated in the time domain, the
existence of an object can be detected.
ℎ 𝑡 = 2𝐴𝑓0
𝑠𝑖𝑛(2𝜋𝑓0𝑡)
2𝜋𝑓0𝑡
𝐻 𝑓
=
𝐴, 𝑓 < 𝑓0
𝐴
2, 𝑓 = 𝑓0
0, 𝑓 > 𝑓0
Time domain Frequency domain
Figure 2.4: Fourier transforms pair [17]
The detection concept by using microwave radar principle is previously used for
tumour detection in homogeneous breast tissue [18]–[22]. Moreover, the similar
concept can also be applied to the human head for detecting brain tumour [23]–[25].
Therefore, the properties of inhomogeneous human head are studied in the following
section.
ℎ 𝑡 = 2𝐴𝑓0
sin 2𝜋𝑓0𝑡
2𝜋𝑓0𝑡
14
2.3 Human Head
Human body consists of homogeneous and inhomogeneous tissues.
Homogeneous tissues are defined as the tissues which are uniform and similar in their
DP, such as women breast fat. In contrast, inhomogeneous tissues consist of non-
uniform parts that are not similar in their DP, for instance human head. In the human
head, the detection of tumour is more challenging, due to the difference of human head
DP in each head layers and complex DP of brain tissue. The following subsection
presents the DP of the human head.
2.3.1 Dielectric Properties of Human Head
Human head comprises of non-homogeneous tissues that comprises of non-
uniform parts, and dissimilar in their DP. Figure 2.5 presents the cross sectional view of
human head.
Figure 2.5: Human head layers cross sectional view [26]
Skin Skull
Dura
Brain
15
In the human head cross sectional view, brain is covered by the main part of
skin, skull, and dura. Human brain that comprises of two major tissues of grey matter
and white matter, is surrounded by a thick layer membrane namely dura. The DP of the
human head parts are presented in Table 2.1. In the detection of tumour, the difference
of DP between the tumour and healthy tissue will provide high dielectric contrast in MI
system. According to [27]–[29], relative permittivity (or dielectric constant), εr of
tumour which can be also called as malignant tissue is nearly similar to the muscle.
Based on [30], εr of tumour at 5 GHz is 50.65, while the conductivity, σ is 4.84 S/m.
Table 2.1: Dielectric properties of tissues in human head at 3.5 GHz based on [31]
Tissue Relative
permittivity, εr
Conductivity,
σ (S/m) Loss tangent
Brain grey matter 47.305 2.636 0.28619
Brain white matter 35.003 1.81 0.26558
Skin 37.005 2.0249 0.28103
Skull 10.793 0.61457 0.29244
Dura 40.717 2.3653 0.29835
Muscle 51.444 2.5575 0.25533
Since MI diagnostic purpose relies on the contrast in DP between normal and
malignant tissues, many articles have been published on the study of brain and head
layers mimicking tissues. Hence, extended information on the DP of the human head is
strongly requisite among researchers to build human head mimicking phantom [32]–
[34].
2.3.2 Human Head Phantom
Human head phantom that has electrical properties mimicking human head are
highly required for verification of devices and systems of microwave head imaging. It is
16
very important to study interactions of EM fields and biological systems between
healthy and malignant tissue.
According to Figure 2.6, a computerised human head phantom is built to have
three separate layers of brain, skull, and scalp. The scalp is geometrized from a
mannequin head that used in silicone mould prototyping, while the brain geometry is
developed from MRI averaging high-resolution which acquired from the database in
[35]. To be noted that, the head is created to have the same scale to an average male
head. The advantage of the phantom is, it is for the electroencephalography (EEG)
evaluation system, but not possible to be tested and compared on human.
Figure 2.6: Computer aided design of the human head phantom [36]
A 3D phantom which developed in [37], consists of four hemisphere layers of
skin, skull, cerebrospinal fluid (CSF), and brain as shown in Figure 2.7. The phantom is
constructed based on conductivity of the different head tissues. This phantom is built for
the use in testing and validation of tomography imaging equipment.
17
Figure 2.7: Four-shell domain of human head structure [37]
A realistic human head phantom that fabricated by 3D-printed moulds for
experimental validation of various microwave platforms is presented in Figure 2.8. The
tissue-equivalent mixture layer is filled into the skull cavity, and mimicking malignant
tissue object can be inserted inside the brain. The anatomy of realistic structure that is
derived from a 2D-MRI image at 1 mm intervals can be used for the intention of cancer
diagnosis, treatment, and tumour detection [38].
Figure 2.8: The tissue mimicking head phantom [38]
The detection of tumour or malignant tissue is highly depending on the
capability of an antenna to give sight of the sensed area. Therefore, antennas that ever
proposed for the application of MI are presented in the next section.
18
2.4 Microwave Imaging Antennas for Tumour Detection
Antenna plays an essential role and has been a promising prospect in MI
application. Therefore, review on MI antennas based on frequencies and materials are
performed, whether for breast cancer detection [39]–[41] or brain imaging [42], [43].
There were antennas in [44]–[46] which are designed at single frequency for MI
application at the respective 5.8, 2.7, and 2.45 GHz. Meanwhile, an interesting array
antenna which arranged on hemisphere shape is built up in a helmet as presented in
Figure 2.9 for head imaging. The resonance frequency of the antennas is 1.3 GHz which
is the continuous design in [47]. The hemisphere shape is considered to follow the
human head shape. However, the helmet dimension of array antenna cannot be fixed to
the different size of human head shape, while considering the gender and age. In
addition, the frequency is narrow which is less suitable for high resolution imaging.
Figure 2.9: An array antenna that built up in helmet shape [46]
In addition to the narrow BW antennas, there are MI antennas that proposed for
dual-band frequencies were reported in [48] and [49]. Antenna in [49] is the triangular
shape antenna with slots on the radiating patch as shown in Figure 2.10. The antenna
comprises of two types of substrate which are foam and duroid that has εr = 2.2 material.
In this design, the implementation of the two slots makes the antenna operates at dual
band microwave frequencies that resonate at 2 and 2.65 GHz. The advantages of the
19
antenna are simple in design and easy to be fabricated. Meanwhile, the drawback is the
BW is narrow.
(a) Top view (b) Side view
Figure 2.10: Compact antenna for microwave imaging and hyperthermia treatment of
brain tumour [49]
Furthermore, multi-band antenna has also been proposed for the MI application.
An antenna in [50] presents a multiband frequency antenna which is developed to
operate in a biocompatible immersion medium of safflower oil for microwave breast
imaging as presented in Figure 2.11. The antenna is fabricated on 32-mil-thick RO4003
substrate and is immersed in 32×15×11 cm3 tank filled with safflower oil. The antenna
may operate at 1.37, 1.95, and 2.90 GHz frequencies. The usage of multiband antenna is
expected to provide higher signal-to-noise ratio and imaging sensitivity during
immersion in low-loss coupling medium due to the higher gain at the designated
frequency. However, the disadvantage of multi-band antenna is on the decrement of
image resolution.
20
(a) Side view (b) Top view (c) simulated and measured S11 of the
miniaturized patch antenna immersed in
safflower oil
Figure 2.11: Multi-band slot-loaded patch antenna [50]
Since broad BW antenna is required to provide better image resolution
compared to narrow BW antenna, several wideband antennas have been designed [51]–
[53]. Antenna in [54] and [55] uses the folding technique for directivity enhancement.
The substrate used for the antenna is FR4 material. The folded structure deteriorates the
impedance BW of the antenna. Therefore, additional part of the design which is shown
by suspended layer in Figure 2.12 need to be included to improve the BW of 1.4-3.4
GHz. However, this BW is considered narrow for good resolution MI. Furthermore, the
addition of suspended layer somehow doubles and complicates the designing process.
(a) Folding process (b) Top view (c) Side view
Figure 2.12: Three dimensional folded wideband antenna [55]
21
Another antenna with some miniaturizations on the tapered slot is presented in
Figure 2.13. Corrugations on the top and bottom layer are applied to resonate the lower
frequency band [56]. However, the use of uniform corrugations possibly notch certain
frequency band as mentioned in [57]. The drawback of this antenna is, it has enough
BW for head imaging which is 1-4 GHz [58], but the structure is hard and has no
flexibilty.
Figure 2.13: Miniaturized tapered slot antenna [59]
In advanced, a system that constructed for head imaging is reported in [60]. The
antennas that were fabricated on Rogers RO3010 operated at 1-4 GHz frequency are
arranged on the rotating table as shown in Figure 2.14. The advantage of the system is,
the imaging process can be evaluated for all ages. However, the drawback is, the rotary
table is considered bulky. In addition, it can cause discomfort to the patient due to the
process that needs them to stay straight and static for accurate diagnostic process.
22
(a) MI system configurations
(b) Simulated and measured S11 of MI antenna
Figure 2.14: Configurations of MI system and the S11 for brain tumour detection [60]
Moreover, a directive and greater BW antenna which based on metal plate
material is shown in Figure 2.15. The antenna operates at wideband frequency of 4-9
GHz for imaging purpose that can be applied for breast cancer screening. However, this
antenna is complicated to be fabricated. The metal material which air as the substrate
[61] is potentially dented and bent during it is handled, which leads to less accuracy
measurement results compared to firm material like microstrip antennas [62]–[64].
Figure 2.15: Metal plate of ground plane antenna [65]
23
Even though many antennas were designed on microstrip, patch antenna leads to
narrow antenna BW. Therefore, a stacking technique ables to enhance the bandwidth
instead of using slot method. A stacked patch antenna in [66] proposed three layers
dielectric for the immersion in breast fat mimicking medium at 4-9 GHz. Low εr
substrate (εr= 2.2) is flanked by high εr substrate (εr = 10.2) on the top and bottom of the
main antenna. The high εr is used to minimize the size and to reduce the reflection due
to the high dielectric contrast between breast fat mimicking medium and the lower εr
substrate. The advantage of additional stack is to improve the BW, which is good for
image resolution. However, there is perturbation at 6-7 GHz whether in air or in the
immersion medium. In addition, the compact structure of the antenna is complicated to
be fabricated, due to the size of main patch is less than 10 mm which is too small and
difficult to be handled as presented in Figure 2.16.
Figure 2.16: Prototype and schematic of the stacked patch antenna [66]
Since the antennas in [59] and [66] covers the respective lower and higher
frequency band, an antenna that operates at the entire frequency of 1-9 GHz has been
designed and shown in Figure 2.17. The antenna has been reported for stroke detection
purpose. The 35×35mm2 planar antenna was fabricated on Rogers RT 6010 (εr = 10.2,
thickness, d =1.27 mm, tan δ = 0.0023). The antenna is fed by separate differential
feeding technique in the size of 26 × 52 mm2, which is perpendicular to the radiating
plane. Advantage of this design is the antenna owns a stable radiation performance and
high front-to-back ratio throughout the frequency range. However, the antenna is non-
24
compact in the size and suffers from high profile feed structure [67]. Therefore, low
profile structure is required which can be achieved by profile optimization in a class of
printed and slots technique [68].
(a) Left side view (b) Right side view
Figure 2.17: An arrangement of the antenna with differential feeding network [69]
The implementation of slot has been used in ultra wideband (UWB) antenna in
[70], which operates at 3.1 - 10.6 GHz frequency range. Moreover, a compact tapered
slot antenna shown in Figure 2.18, has been fabricated on Rogers RT6010LM substrate.
The antenna operates at 2.75-11 GHz frequency and has a high gain between 3.5-9.4
dBi. The design seems simple, but slightly complicated on the feed line alignment
between the radiator and the ground. The misalignment of the feed line might contribute
to the changes of impedance matching. In addition, the drawback of using tapered slot is
the contain of high back lobes as enlightened in [71].
(a) Antenna prototype. Left: upper layer;
right: lower layer
(b)The tepered slot antenna geometry
Figure 2.18: Tapered slot antenna geometry [72]
178
REFERENCES
1. National Cancer Institute: Surveillance, Epidemiology, and End Results
Program. SEER Stat Fact Sheets: Brain and Other Nervous System Cancer.
USA. Available from: <http://seer.cancer.gov/statfacts/html/brain.html>. [1
November 2015].
2. Sumin, Y., Kihyun, K., and Sangwook, N. Outer-Wall Loop Antenna for
Ultrawideband Capsule Endoscope System. IEEE Antennas and Wireless
Propagation Letters. 2010. 9:1135–1138.
3. Zwick, T., Jalilvand, M., Kowalewski, J., and Li, X. Broadband Miniaturised
Bow-tie Antenna for 3D Microwave Tomography. Electronics Letters. 2014. 50
(4): 244–246.
4. Irishina, N. Microwave Medical Imaging using Level Set Techniques. Thesis
Doctoral. Universidad Carlos III de Madrid; 2009.
5. Abbosh, A. Microwave Systems for Head Imaging: Challenges and Recent
Developments. International Microwave Workshop Series on RF and Wireless
Technologies for Biomedical and Healthcare Applications (IMWS-BIO).
December 9-11, 2013. IEEE: 2013. 1–3.
6. Pastorino, M. Microwave Imaging. Canada: John Wiley & Sons. 2010.
7. Henriksson, T., Joachimowicz, N., Conessa, C., and Bolomey, J. Quantitative
Microwave Imaging for Breast Cancer Detection Using a Planar 2 . 45 GHz
System. IEEE Transactions on Instrumentation and Measurement. 2010. 59 (10):
2691–2699.
8. Ireland, D. and Bialkowski, M. E. Microwave Head Imaging for Stroke
Detection. Progress In Electromagnetics Research M. 2011. 21:163–175.
9. Mohammed, B. J., Ireland, D., and Abbosh, A. M. Experimental Investigations
into Detection of Breast Tumour using Microwave System with Planar Array.
IET Microwaves, Antennas & Propagation. 2012. 6(12): 1311–1317.
179
10. Ostadrahimi, M., Mojabi, P., Noghanian, S., Shafai, L., Pistorius, S., and Lovetri,
J. A Novel MicrowaveTomography System Based on The Scattering Probe
Technique. IEEE Transactions on Instrumentation and Measurement. 2012.
61(2): 379–390.
11. Qaddoumi, N., Khousa, M. A, and Saleh, W. Near-field Microwave Imaging
Utilizing Tapered Rectangular Waveguides. IEEE Transactions on
Instrumentation and Measurement. 2006. 55(5): 1752–1755.
12. Jofre, L., Hawley, M. S., Broquetas, A., De Los Reyes, E., Ferrando, M., and
Elias-Fuste, A. R. Medical Imaging with a Microwave Tomographic Scanner.
IEEE Transactions on Biomedical Engineering. 1990. 37(3): 303–312.
13. Hagness, S. C., Taflove, A., and Bridges, J. E. Two-dimensional FDTD Analysis
of a Pulsed Microwave Confocal System for Breast Cancer Detection: Fixed-
focus and Antenna-array Sensors. IEEE Transactions on Bio-Medical
Engineering. 1998. 45(12): 1470–1479.
14. Khor, W., Bialkowski, M., Abbosh, A., Seman, N., and Crozier, S. An Ultra
Wideband Microwave Imaging System for Breast Cancer Detection.
International Symposium on Antennas and Propagation (ISAP). IEICE. 2006. 1–
5.
15. Fallahpour, M. Synthetic Aperture Radar-based Techniques and Reconfigurable
Antenna Design for Microwave Imaging of Layered Strutures. Doctor of
Philosophy Dissertation. Missouri University of Science and Technology. 2013.
16. Pozar, D.M. Microwave Engineering. 4th edition. USA: John Wiley & Sons.
2009.
17. E. O. Brigham, The Fast Fourier Transform and Its Applications. Englewood
Cliffs, New Jersey : Prentice-Hall. 1988.
18. Lazaro, A., Girbau, D., and Villarino, R. Weighted Centroid Method for Breast
Tumor Localization using an UWB Radar. Progress In Electromagnetics
Research B. 2010. 24: 1–15.
19. Klemm, M., Gibbins, D., Leendertz, J., Horseman, T., Preece, A. W., Benjamin,
R., and Craddock, I. J. Development and Testing of a 60-Element UWB
Conformal Array for Breast Cancer Imaging. Proceedings of the 5th European
Conference on Antennas and Propagation (EUCAP). April 11-15, 2011. IEEE.
2011. 3077–3079.
180
20. Kirshin, E., Oreshkin, B., Zhu, G. K., Popovic, M., and Coates, M. Microwave
Radar and Microwave-Induced Thermoacoustics: Dual-Modality Approach for
Breast Cancer Detection. IEEE Transactions on Biomedical Engineering. 2013.
60 (2): 354–360.
21. Sill, J. M. and Fear, E. C. Tissue Sensing Adaptive Radar for Breast Cancer
Detection-Experimental Investigation of Simple Tumor Models. IEEE
Transactions on Microwave Theory and Techniques. 2005. 53(11): 3312–3319.
22. Bassi, M., Caruso, M., Khan, M. S., Bevilacqua, A., Capobianco, A.-D., and
Neviani, A. An Integrated Microwave Imaging Radar with Planar Antennas for
Breast Cancer Detection. IEEE Transactions on Microwave Theory and
Techniques. 2013. 61(5): 2108–2118.
23. Chew, K. M., Sudirman, R., Mahmood, N. H., Seman, N., and Yong, C. Y.
Human Brain Microwave Imaging Signal Processing: Frequency Domain (S-
parameters) to Time Domain Conversion. Engineering. 2013. 5: 31–36.
24. Jamlos, M.A., Jamlos, M.F., and Ismail, A.H. High Performance Novel UWB
Array Antenna for Brain Tumor Detection via Scattering Parameters in
Microwave Imaging Simulation System. The 9th European Conference on
Antennas and Propagation (EuCAP). April 13-17, 2015. Lisbon, Portugal:
EurAAP. 2015.1–5.
25. Jalilvand, M., Zwick, T., Wiesbeck, W., and Pancera, E. UWB Synthetic
Aperture-based Radar System for Hemorrhagic Head-stroke Detection. IEEE
Radar Conference (RADAR). May 23-27, 2011. Missouri, USA: IEEE. 2011.
956–959.
26. Sectional Models of the Human Head. Available from: <http://www.einsteins-
emporium.com/human-anatomy/sh202.htm>. [11 November 2015].
27. Fenn, A. Breast Cancer Treatment by Focused Microwave Thermotherapy.
Sudbury: Jones and Bartlett. 2007.
28. Baskharoun, Y., Trehan, A., Nikolova, N. K., and Noseworthy, M. D. Physical
Phantoms for Microwave Imaging of the Breast. IEEE Topical Conference on
Biomedical Wireless Technologies, Networks, and Sensing Systems
(BioWireleSS). January 15-18, 2012. California, USA: IEEE. 2012. 73–76.
29. Ortega-Palacios, R., Leija, L., Vera, A., and Cepeda, M. F. J. Measurement of
Breast - Tumor Phantom Dielectric Properties for Microwave Breast Cancer
Treatment Evaluation. 7th International Conference on Electrical Engineering
181
Computing Science and Automatic Control. September 8-10, 2010. Tuxtla
Gutierrez, Mexico : CCE. 2010. 216–219.
30. Lazebnik, M., Hagness, S. C., and Booske, J. H. Dielectric-Properties Contrast
Enhancement for Microwave Breast Cancer Detection: Numerical Investigations
of Microbubble Contrast Agents. URSI General Assembly. August 7-16, 2008.
Chicago, USA: IEEE. 2008. 1–4.
31. An Internet Resource for the Calculation of the Dielectric Properties of Body
Tissues in the Frequency Range 10 Hz - 100 GHz. Available from:
<http://niremf.ifac.cnr.it/tissprop/>. [20 August 2014].
32. Shmueli, K., Thomas, D. L., & Ordidge, R. J. Design, Construction and
Evaluation of an Anthropomorphic Head Phantom with Realistic Susceptibility
Artifacts. Journal of Magnetic Resonance Imaging. 2007. 26: 202–207.
33. Croteau, J., Sill, J., Williams, T., and Fear, E. Phantoms for Testing Radar-based
Microwave Breast Imaging. 13th International Symposium on Antenna
Technology and Applied Electromagnetics and the Canadian Radio Science
Meeting. May 15-18, 2009. Alberta, Canada: IEEE. 2009. 1–4.
34. Kao, T., Saulnier, G. J., Isaacson, D., Szabo, T. L., and Newell, J. C. A Versatile
High-Permittivity Phantom for EIT. IEEE Transactions on Biomedical
Engineering. 2008. 55(11): 2601–2607.
35. Vincent, R. Simulated Brain Database. Available from:
<http://mouldy.bic.mni.mcgill.ca/brainweb/>. [5 July 2015]
36. Collier, T. J., Kynor, D. B., Bieszczad, J., Audette, W. E., Kobylarz, E. J., and
Diamond, S. G. Creation of a Human Head Phantom for Testing of
Electroencephalography Equipment and Techniques. IEEE Transactions on
Biomedical Engineering. 2012. 59(9): 2628–2634.
37. Sperandio, M., Guermandi, M., and Guerrieri, R. A Four-shell Diffusion
Phantom of the Head for Electrical Impedance Tomography. IEEE Transactions
on Biomedical Engineering. 2012. 59(2): 383–389.
38. Mobashsher, A. T. and Abbosh, A. M. Three-Dimensional Human Head
Phantom With Realistic Electrical Properties and Anatomy. IEEE Antennas and
Wireless Propagation Letters. 2014. 13:1401–1404.
39. O’Halloran, M., Glavin, M., & Jones, E. Rotating Antenna Microwave Imaging
System for Breast Cancer Detection. Progress In Electromagnetics Research.
2010. 107: 203–217.
182
40. Adnan, S., Abd-Alhameed, R. A., See, C. H., Hraga, H. I., Elfergani, I. T. E., and
Zhou, D. A Compact UWB Antenna Design for Breast Cancer Detection. 2010
Progress In Electromagnetics Research Symposium, 2010, 6(2). 129–132.
41. Yu, J., Yuan, M., and Liu, Q. H. A wideband Half Oval Patch Antenna for Breast
Imaging. Progress In Electromagnetics Research. 2009. 98: 1–13.
42. Guardiola, M., Jofre, L., Gedda, F., Capdevila, S., Romeu, J., and Blanch, S. 3D
Arrayed Microwave Tomographic System for Medical Imaging. IEEE
International Conference on Wireless Information Technology and Systems
(ICWITS). August 28- September 3, 2010. Hawaii, USA: IEEE. 2010.1–4.
43. Mobashsher, A. T., Mohammed, B. J., Mustafa, S., and Abbosh, A. Ultra
Wideband Antenna for Portable Brain Stroke Diagnostic System. IEEE MTT-S
International Microwave Workshop Series on RF and Wireless Technologies for
Biomedical and Healthcare Applications (IMWS-BIO). 2013. 1032: 2–4.
44. Stang, J. P. and Joines, W. T. A Tapered Microstrip Patch Antenna Array for
Microwave Breast Imaging. IEEE MTT-S International Microwave Symposium
Digest. June 15-50, 2008. Atlanta, Georgia: IEEE. 2008. 1313–1316.
45. Shrestha , S. and Agarwal, M. Microstrip Antennas for Direct Human Skin
Placement for Biomedical Applications. Progress In Electromagnetics Research
Symposium. July 5–8, 2010. Cambridge, USA: The Electromagnetics Academy.
2010. 926–931.
46. Fhager, A., McKelvey, T., and Persson, M. Stroke Detection using a Broadband
Microwave Antenna System. European Conference on Antennas and
Propagation (EuCAP). April 12-16, 2010. Barcelona, Spain: IEEE. 2010. 1–3.
47. Trefná , H. and Persson, M. Antenna Array Design for Brain Monitoring. IEEE
International Symposium on Antennas and Propagation and USNC/URSI
National Radio Science Meeting (APS-URSI). July 5-11, 2008. California, USA:
IEEE. 2008. 1-4.
48. Aguilar, S. M., Al-Joumayly, M. A., Shea, J. D., Behdad, N., and Hagness, S. C.
Design of a Microwave Breast Imaging Array Composed of Dual-band
Miniaturized Antennas. XXXth URSI General Assembly and Scientific
Symposium. August 13 - 20, 2011. Istanbul, Turkey: IEEE. 2011. 1–4.
183
49. A. F. Sheta, I. Elshafiey, A. Mohra, Z. Siddiqui, and A. R. Sebak, “A Compact
Antenna for Microwave Imaging and Hyperthermia Treatment of Brain Tumor,”
15th International Symposium on Antenna Technology and Applied
Electromagnetics, 2012, pp. 1–4.
50. Al-Joumayly, M. a, Aguilar, S. M., Behdad, N., and Hagness, S. C. Dual-band
Miniaturized Patch Antennas for Microwave Breast Imaging. IEEE Antennas and
Wireless Propagation Letters. 2010. 9:268–271.
51. Zhou, Y. and Jaworski, D. CPW Integrated Microstrip Array for Three-
dimensional Microwave Imaging. IEEE International Symposium on Antennas
and Propagation Society (APSURSI). July 7- 13, 2013. Orlando, Florida:IEEE.
2013.1408–1409.
52. Yazhou Wang, Fathy, A. E., and Mahfouz, M. R. Novel Compact Tapered
Microstrip Slot Antenna for Microwave Breast Imaging. IEEE International
Symposium on Antennas and Propagation (APSURSI). 3-8 July 2011.
Washington, USA: IEEE. 2119–2122.
53. Ahadi, M., Hasan, W. Z. W., Saripan, M. I. Bin, and Isa, M. B. M. Square
Monopole Antenna for Microwave Imaging, Design and Characterisation. IET
Microwaves, Antennas & Propagation. 2015. 9(1):49–57.
54. Rezaeieh, S. A., Abbosh, A., & Wang, Y. Wideband Unidirectional Antenna of
Folded Structure in Microwave System for Early Detection of Congestive Heart
Failure. IEEE Transactions on Antennas and Propagation. 2014. 62(10): 5375–
5379.
55. Ahdi Rezaeieh, S., Zamani, A., and Abbosh, A. M. 3-D Wideband Antenna for
Head Imaging System with Performance Verification in Brain Tumor Detection.
IEEE Antennas and Wireless Propagation Letters. 2015. 14:910–914.
56. Mohammed, B. J., Abbosh, A. M., and Sharpe, P. Planar Array of Corrugated
Tapered Slot Antennas for Ultrawideband Biomedical Microwave Imaging
System. International Journal of RF and Microwave Computer-Aided
Engineering. 2013. 23(1): 59–66.
57. Zhu, F. and Gao, S. Compact Elliptically Tapered Slot Antenna with Non-
uniform Corrugations for Ultra-wideband Applications. Radioengineering. 2013.
22(1):276–280.
184
58. Mohammed, B. J., Bialkowski, K., Mustafa, S., and Abbosh, A. Investigation of
Noise Effect on Image Quality in Microwave Head Imaging Systems. IET
Microwaves, Antennas & Propagation. 2015. 9(3): 200–205.
59. Mohammed, B., Abbosh, A., David Ireland, A., and Bialkowski, M. E. Wideband
Antenna for Microwave Imaging of Brain. International Conference Series on
Intelligent Sensors, Sensor Networks and Information Processing. December 6-9,
2011. Melbourne, Australia: IEEE. 2011. 17–20.
60. Mohammed, B. J., Abbosh, A. M., Member, S., Mustafa, S., and Ireland, D.
Microwave System for Head Imaging. IEEE Transactions on Instrumentation
and Measurement. 2014. 63(1):17–123.
61. Belamgi, S. B., Member, S., and Ray, S. Third International Conference on
Computer, Communication, Control and Information Technology (C3IT).
February 7-8, 2015. Hooghly, India: IEEE. 2015. 1–4.
62. Abed , D. and Kimouche, H. Design and Characterization of Microstrip UWB
Antennas. In: Lembrikov, B. Ultra Wideband. Rijeka, Croatia: InTechOpen.
347–37; 2010.
63. Azari, A. A New Super Wideband Fractal Microstrip Antenna. IEEE
Transactions on Antennas and Propagation. 2011. 59(5): 1724–1727.
64. Dastranj, A. and Abiri, H. Bandwidth Enhancement of Printed E-Shaped Slot
Antennas Fed by CPW and Microstrip Line. IEEE Transactions on Antennas and
Propagation. 2010. 58(4):1402–1407.
65. Adnan, S., Abd-Alhameed, R., Hraga, H., Elfergani, I. T. E., Noras, J. M., and
Halliwell, R. Microstrip Antenna for Microwave Imaging Application. Progress
In Electromagnetics Research Symposium (PIERS). March 20–23, 2011.
Marrakesh, Morocco: The Electromagnetics Academy. 2011. 431–434.
66. Nilavalan, R., Craddock, I. J. J., Preece, A., Leendertz, J., and Benjamin, R.
Wideband Microstrip Patch Antenna Design for Breast Cancer Tumour
Detection. IET Microwaves, Antennas & Propagation. 2007. 1(2):277-281.
67. Kharkovsky, S., Ghasr, M. T., Kam, K., Abou-Khousa, M. A., and Zoughi, R.
Out-of-Plane Fed Elliptical Slot Array for Microwave Imaging. IEEE
Transactions on Antennas and Propagation. 2013. 61(10): 5311–5314.
68. Pozar, D. M. and Schaubert, D. H. Microstrip Antennas: The Analysis and
Design of Microstrip Antennas and Arrays. Wiley-IEEE Press, 1995.
185
69. Li, X., Zwirello, L., Jalilvand, M., and Zwick, T. Design and Near-field
Characterization of a Planar on-body UWB Slot-antenna for Stroke Detection.
IEEE International Workshop on Antenna Technology (iWAT). March 5 - 7,
2012. Arizona, USA: IEEE. 2012. 201–204.
70. Tsai, C. and Yang, C. Novel Compact Eye-shaped UWB Antennas. IEEE
Antennas and Wireless Propagation Letters. 2012. 11:184–187.
71. Wayne S. T. and Rowe, R. W. Printed Antennas for Wireless Communications.
West Sussex: John Wiley & Sons. 2007.
72. Abbosh, A. M., Kan, H. K., and Bialkowski, M. E. Compact Ultra-wideband
Planar Tapered Slot Antenna for use in a Microwave Imaging System.
Microwave and Optical Technology Letters. 2006. 48(11): 2212–2216.
73. Mobashsher , A. T. and Abbosh, A. M. Compact Wideband Directional Antenna
with Three-dimensional Structure for Microwave-based Head Imaging Systems.
IEEE International Symposium on Antennas and Propagation Society
(APSURSI). July 6-11, 2014. Tennessee, USA: IEEE. 2014. 1141–1142.
74. Latif, S., Flores-Tapia, D., Shafai, L., and Pistorius, S. An Ultrawideband
Elliptical Monopole Antenna for Breast Microwave Radar Imaging. IEEE
International Symposium on Antennas and Propagation Society (APSURSI). July
7- 13, 2013. Orlando, Florida: IEEE. 2013. 686–687.
75. Langley, J. D. S., Hall, P. S., and Newham, P. Novel Ultrawide Bandwidth
Vivaldi Antenna with Low Crosspolarization. Electronics Letters. 1993.
29(23):2004–2005.
76. Bourqui, J., Okoniewski, M., and Fear, E. C. Balanced Antipodal Vivaldi
Antenna with Dielectric Director for Near-Field Microwave Imaging. IEEE
Transactions on Antennas and Propagation. 2010. 58(7): 2318–2326.
77. B. J. Mohammed, A. M. Abbosh, D. I., and Bialkowski, M. E. Compact
Wideband Antenna Immersed in Optimum Coupling Liquid for Microwave
Imaging of Brain Stroke. Progress In Electromagnetics Research C. 2012.
27:27–39.
78. Betancourt , D. and Castan, J. Printed Antenna on Flexible Low-Cost Pet
Substrate for UHF Applications. Progress In Electromagnetics Research C.
2013. 38: 129–140.
79. Polyethylene Terephthalate - PET Amorphous. Available from :
<http://www.azom.com/article.aspx?ArticleID=796>. [1 November 2015].
186
80. Sankaralingam, S. and Gupta, B. Development of Textile Antennas for Body
Wearable Applications and Investigations on Their Performance Under Bent
Conditions. Progress In Electromagnetics Research B. 2010. 22: 53–71.
81. Mantash, M., Tarot, A. C., Collardey, S., and Mahdjoubi, K. Wearable Monopole
Zip Antenna. Electronics Letters. 2011. 47(23):1266-1267.
82. Osman, M., Rahim, M., Azfar, M., Samsuri, N. A., Zubir, F., and Kamardin, K.
Design, Implementation and Performance of Ultra-wideband Textile Antenna.
Progress In Electromagnetics Research B. 2011. 27: 307–32.
83. McArthur, A. Textiles Technology. United Kingdom: Nelson Thornes. 2004.
84. Tabár, L. and P Dean. B. A New Era in the Diagnosis and Treatment of Breast
Cancer. The Breast Journal. 2010. 16(s1): S2–S4.
85. Siu, A. L. Screening for Breast Cancer: U.S. Preventive Services Task Force
Recommendation Statement. Annals of Internal Medicine. 2016. 164(4): 279–
296.
86. Berg, W. A., Gutierrez, L., NessAiver, M. S., Carter, W. B., Bhargavan, M.,
Lewis, R. S., and Ioffe, O. B. Diagnostic Accuracy of Mammography, Clinical
Examination, US, and MR Imaging in Preoperative Assessment of Breast Cancer.
Radiology. 2004. 233(3):830–849.
87. Vertiy, A. and Gavrilov, S. Microwave Tomography for Human Body Imaging.
International Conference on Electromagnetics in Advanced Applications
(ICEAA). September 17- 21, 2007. Torino, Italy: IEEE. 2007. 336-339.
88. Guardiola, M., Jofre, L., and Romeu, J. 3D UWB Tomography for Medical
Imaging Applications. IEEE International Symposium on Antennas and
Propagation Society (APSURSI). July 11-17, 2010. Ontario, Canada: IEEE. 2010.
3–6.
89. Grzegorczyk, T. M., Meaney, P. M., Kaufman, P. A., DiFlorio-Alexander, R. M.,
and Paulsen, K. D. Fast 3-d Tomographic Microwave Imaging for Breast Cancer
Detection. IEEE Transactions on Medical Imaging. 2012. 31(8): 1584–1592.
90. Klemm, M., Leendertz, J. A., Gibbins, D., Craddock, I. J., Preece, A., and
Benjamin, R. Microwave Radar-Based Breast Cancer Detection: Imaging in
Inhomogeneous Breast Phantoms. IEEE Antennas and Wireless Propagation
Letters. 2009. 8: 1349–1352.
91. Klemm, M., Leendertz, J. A., Gibbins, D., Craddock, I. J., Preece, A., and
Benjamin, R. Microwave Radar-Based Differential Breast Cancer Imaging:
187
Imaging in Homogeneous Breast Phantoms and Low Contrast Scenarios. IEEE
Transactions on Antennas and Propagation. 2010. 58(7): 2337–2344.
92. Winters, D. W., Shea, J. D., Madsen, E. L., Frank, G. R., Van Veen, B. D., &
Hagness, S. C. Estimating the Breast Surface using UWB Microwave Monostatic
Backscatter Measurements. IEEE Transactions on Biomedical Engineering.
2008. 55(1): 247–56.
93. Fear, E. C., Meaney, P. M., and Stuchly, M. A. Microwaves for Breast Cancer
Detection?. IEEE Potentials. 2003. 22(1): 12.
94. Khor, W. C. and Bialkowski, M. E. nvestigations into Cylindrical and Planar
Configurations of a Microwave Imaging System for Breast Cancer Detection.
IEEE Antennas and Propagation Society International Symposium. July 9 - 14,
2006. New Mexico, USA: IEEE. 2006. 263–266.
95. Pack, J.-K., Kim, T.-H., Jeon, S.-I., Lee, J.-M., and Kim, K.-C. Breast Cancer
Detector using Microwave Tomography Image Technology. Asia-Pacific
International Symposium on Electromagnetic Compatibility. April 12-16, 2010.
Beijing, China: IEEE. 2010. 362–365.
96. Khor, W. C. K. W. C., Bakar, A. A., and Bialkowski, M. E. Investigations into
Breast Cancer Detection using Ultra Wide Band Microwave Radar Technique.
Asia Pacific Microwave Conference. December 7-10, 2009. Singapore: IEEE.
712–715.
97. Bialkowski, M., Wang, Y., Bakar, A. A., and Khor, W. C. Microwave Imaging
using Ultra Wideband Frequency Domain Data. Microwave and Optical
Technology Letters. 2012. 54(1):13–18.
98. Bialkowski, M. E., Khor, W. C., and Crozier, S. A Planar Microwave Imaging
System with Step-frequency Synthesized Pulse using Different Calibration
Methods. Microwave and Optical Technology Letters. 2006. 48(3): 511–516.
99. Panagopoulos, D. J., Johansson, O., and Carlo, G. L. Evaluation of Specific
Absorption Rate as a Dosimetric Quantity for Electromagnetic Fields Bioeffects.
2013. PLoS ONE. 8(6):1-9.
100. ICNIRP Secretariat. ICNIRP Guidelines for Limiting Exposure to Time Varying
Electric, Magnetic and Electromagnetic Fields (up to 300 GHz). 1998. 74(4):
494–523.
188
101. SAR Values: The Facts and Figures on Cellular Phone Radiation!. Available
from: <http://sarvalues.com/what-is-sar-and-what-is-all-the-fuss-about/>. [6 July
2015].
102. Picher, C., Anguera, J., Andujar, A., Puente, C., and Kahng, S. Analysis of the
Human Head Interaction in Handset Antennas with Slotted Ground Planes. IEEE
Antennas and Propagation Magazine. 2012. 54(2): 36–56.
103. Li, C.-H., Douglas, M., Ofli, E., Derat, B., Gabriel, S., Chavannes, N., and
Kuster, N. Influence of the Hand on the Specific Absorption Rate in the Head.
IEEE Transactions on Antennas and Propagation. 2012. 60(2):1066–1074.
104. Khalatbari, S., Sardari, D., Mirzaee, A. A., and Sadafi, H. A. Calculating SAR in
two Models of the Human Head Exposed to Mobile Phones Radiations at 900
and 1800 MHz. Progress In Electromagnetics Research Symposium. March 26-
29, 2006. Cambridge, USA: The Electromagnetics Academy. 2006. 104–109.
105. Khodabakhshi, H., and Cheldavi, A. Irradiation of a Six-layered Spherical Model
of Human Head in the Near Field of a Half-wave Dipole Antenna. IEEE
Transactions on Microwave Theory and Techniques. 2010. 58(3): 680–690.
106. Lak, A., Oraizi, H., Lak, A., and Oraizi, H. Evaluation of SAR Distribution in
Six-Layer Human Head Model. International Journal of Antennas and
Propagation. 2013. 2013: 1–8.
107. Zhao, K., Zhang, S., Ying, Z., Bolin, T., and He, S. SAR Study of Different
MIMO Antenna Designs for LTE Application in Smart Mobile Handsets. IEEE
Transactions on Antennas and Propagation. 2013. 61(6):3270–3279.
108. Li, H., and Lau, B. K. Efficient evaluation of specific absorption rate for MIMO
terminal. Electronics Letters. 2014. 50(22):1561–1562.
109. Li, H., Tsiaras, A., Derat, B., and Lau, B. K. Analysis of SAR on Flat Phantom
for Different Multi-antenna Mobile Terminals. The 8th European Conference on
Antennas and Propagation (EuCAP). April 6-11, 2014. The Hague, Netherlands:
IEEE. 2014. 2365–2369.
110. Pinho, P., Lopes, A., Leite, J., and Casaleiro, J. SAR Determination and
Influence of the Human Head in the Radiation of a Mobile Antenna for Two
Different Frequencies. IEEE International Conference on Electromagnetics in
Advanced Applications. September 14 - 18, 2009. Torino, Italy: IEEE. 2009.
431–434.
189
111. Lias, K., Mat, D. A. A., Kipli, K., and Marzuki, A. S. W. Human Health
Implication of 900MHz and 1800MHz Mobile Phones. IEEE 9th Malaysia
International Conference on Communications. December 15-17, 2009. Kuala
Lumpur, Malaysia : IEEE. 2009. 146–149.
112. Soh, P. J., Vandenbosch, G. A. E., Wee, F. H., van den Bosch, A., Martinez-
Vazquez, M., and Schreurs, D. M. M.-P. Specific Absorption Rate (SAR)
Evaluation of Biomedical Telemetry Textile Antennas. IEEE MTT-S
International Microwave Symposium Digest (IMS). June 2-7, 2013. 2013.1–3.
113. Soh, P. J., Vandenbosch, G. a E., Wee, F. H., Van Den Bosch, A., Martinez-
Vazquez, M., and Schreurs, D. M. M. P. Specific Absorption Rate (SAR)
Evaluation of Textile Antennas. IEEE Antennas and Propagation Magazine.
2013. 57(2):229–240.
114. Abbosh, A. and Mobashsher, A. T. Development of Compact Directional
Antenna Utilising Plane of Symmetry for Wideband Brain Stroke Detection
Systems. Electronics Letters. 2014. 50(12): 850–851.
115. Lessemf. Available from: <http://www.lessemf.com/fabric.html>. [2 July 2015].
116. Mantash, M., Tarot, a.-C., Collardey, S., and Mahdjoubi, K. Investigation of
Flexible Textile Antennas and AMC Reflectors. International Journal of
Antennas and Propagation. 2012. 2012:1–10.
117. Nelson, S. O., Stuchley, S., and Kent, G. Agilent 85070E Dielectric Probe Kit.
2013.
118. Langhe, P. De, Martens, L., and Zutter, D. De. Design Rules for an Experimental
Setup using an Open-ended Coaxial Probe Based on Theoretical Modelling.
IEEE Transactions on Instrumentation and Measurement. 1994. 43(6): 810–817.
119. El-rayes, M., and Ulaby, F. Microwave Dielectric Spectrum of Vegetation-Part I:
Experimental Observations. IEEE Transactions on Geoscience and Remote
Sensing. 1987. GE-25(5):541–549.
120. Lee, T. Keysight Vector Network Analyzer Calibration and Connector Care.
Keysight Technologies. 2007.
121. Q. A. Acton, Breast Cancer: New Insights for the Healthcare Professional: 2013
Edition, 2013th ed. ScholarlyEditions, 2013.
122. Al-Khatib, M. and Alam, M. S. IPTV Multimedia Networks: Concepts,
Developments, and Design. International Engineering Consortium, Chicago,
Illinois. 2007.
190
123. Yang, F. and Mohan, A. Microwave Imaging for Breast Cancer Detection using
Vivaldi Antenna Array. IEEE International Symposium on Antennas and
Propagation (ISAP). October 29 - November 2, 2012. Nagoya, Japan, IEEE.
2012. 479–482.
124. Chew, K. M., Sudirman, R., Seman, N., and Yong, C. Y. Reflection Coefficient
Detection of Simulation Models for Microwave Imaging Simulation System. Bio-
Medical Materials and Engineering. 2014. 24(1):199–207.
125. Unal, I., Turetken, B., Surmeli, K., and Canbay, C. An Experimental Microwave
Imaging System for Breast Tumor Detection on Layered Phantom Model, IEEE
XXXth URSI General Assembly and Scientific Symposium. August 13-20, 2011.
Istanbul, Turkey: IEEE. 2011. 1–4.
126. Wessapan, T., Srisawatdhisukul, S., and Rattanadecho, P. The Effects of
Dielectric Shield on Specific Absorption Rate and Heat Transfer in the Human
Body Exposed to Leakage Microwave Energy. International Communications in
Heat and Mass Transfer. 2011. 38(2): 255–262.
127. Mohra, A., Sheta, A., Siddiqui, Z., and Elshafiey, I. Development of Microwave
System for Tumor Ablation and Imaging. 42nd European Microwave
Conference. October 29 - November 1, 2012. Amsterdam, Netherlands: IEEE.
2012. 803–806.
128. Beard, B. B., Kainz, W., Onishi, T., Iyama, T., Watanabe, S., Fujiwara, O.,
Nikoloski, N. Comparisons of Computed Mobile Phone Induced SAR in the
SAM Phantom to that in Anatomically Correct Models of the Human Head. IEEE
Transactions on Electromagnetic Compatibility. 2006. 48(2): 397–407.
129. Joó, E., Szász, A., and Szendrö, P. Metal-framed Spectacles and Implants and
Specific Absorption Rate among Adults and Children using Mobile Phones at
900/1800/2100 MHz. Electromagnetic Biology and Medicine. 2006. 25(2):103–
12.
130. Mohammed, B., Abbosh, A., Henin, B., and Sharpe, P. Head Phantom for
Testing Microwave Systems for Head Imaging. Cairo International Biomedical
Engineering Conference (CIBEC). December 20-22, 2012. Giza, Egypt: IEEE.
2012. 191–193.
131. Balanis, C. A. Antenna Theory: Analysis and Design. 3rd edition. Canada: John
Wiley & Sons. 2005.
191
132. Visser, H. J. Antenna Theory and Applications. West Sussex, U.K: John Wiley &
Sons. 2012.
133. Hilberg, W. From Approximations to Exact Relations for Characteristic
Impedances. IEEE Transactions on Microwave Theory and Techniques. 1969.
17(5):259–265.
134. Yang, Z.-X., Yang, H.-C., Hong, J.-S., and Li, Y. Bandwidth Enhancement of a
Polarization-Reconfigurable Patch Antenna with Stair-Slots on the Ground. IEEE
Antennas and Wireless Propagation Letters. 2014. 13:579–582.
135. Sujith, R., Mridula, S., Binu, P., Laila, D., Dinesh, R., and Mohanan, P. Compact
CPW-fed Ground Defected H-shaped Slot Antenna with Harmonic Suppression
and Stable Radiation Characteristics. Electronics Letters. 2010. 46(12):812-814.
136. Sharma, S., Saxena, V. N., Goodwill, K., Singh, S. K., and Sharma, K. CPW Fed
Rectangular Slot Antenna with Dual H-Slot on Ground for Wideband Wireless
Applications. 9th International Conference on Signal Processing and
Communication (ICSC). March 16-18, 2015. Greater Noida, India: IEEE. 2015.
439–442.
137. Chen, H. D. Broadband CPW-fed Square Slot Antennas with a Widened Tuning
Stub. IEEE Transactions on Antennas and Propagation. 2003. 51(8):1982–1986.
138. Bangkok, T. N. A Multiband CPW-Fed Slot Antenna with Fractal Stub and
Parasitic Line. RadioEngineering. 2012. 21(2):597–605.
139. Krishna, D. Das, Gopikrishna, M., Anandan, C. K., Mohanan, P., and Vasudevan,
K. CPW-fed Koch Fractal Slot Antenna for WLAN/WiMAX Applications. EEE
Antennas and Wireless Propagation Letters. 2008. 7:389–392.
140. Ojaroudi, N., Ojaroudi, M., and Ebarhimian, H. Band-Notched Uwb Microstrip
Slot Antenna with Enhanced Bandwidth by Using a Pair of C-Shaped Slots.
Microwave and Optical Technology Letters. 2012. 54(2):515–518.
141. Tzeremes, G., Liao, T. S., Yu, P. K. L., and Christodoulou, C. G. Computation of
Equivalent Circuit Models of Optically Driven CPW-Fed Slot Antennas for
Wireless Communications. IEEE Antennas and Wireless Propagation Letters.
2003. 2: 140–142.
142. Verma, A. K. and Singh, P. Loss Computation of Multilayer Coplanar
Waveguide using Single Layer Reduction Method. International Journal of
Electromagnetics and Applications. 2012. 2(6):174–181.
192
143. Pieter-Tjerk de Boer, PA3FWM Amateur Radio 2014, Capacitance of Antenna
Elements, Available from: < http://www.pa3fwm.nl/technotes/tn08b.html> [10
June 2016].
144. Luis, J. R. De, Mahanfar, A., and Shewan, B. Reconfigurable Monopole Antenna
for Wireless Communications. US20140159982 A1. 2014.
145. Madhav, B. T. P., Sanikommu, M., Pranoop, M. N. V. S., Bose, K. S. N. M. C.,
and Kumar, B. S. CPW Fed Antenna for Wideband Applications based on
Tapered Step Ground and EBG Structure. Indian Journal of Science and
Technology. 2015. 8:119–127.
146. Majidzadeh, M. and Ghobadi, C. Wide Band CPW-fed Circular Patch Antenna
with Tapered Ground Plane. Internatıonal Journal of Natural and Engineering
Sciences. 2012. 6(3):105–108.
147. Matin, M. A. Ultra Wideband Communications: Novel Trends - Antennas and
Propagation. Croatia: InTech. 2011.
148. Baum, C. E., Carin, L., and Stone, A. P. Ultra-Wideband, Short-Pulse
Electromagnetics 3. New York: Springer Science & Business Media. 1997.
149. Shirook, M. A. and Kanj, H. Modified Ground Plane (MGP) Approach to
Improving Antenna Self-matching and Bandwidth. US8593367 B2. 2010.
150. Abbosh, A. M. Miniaturization of Planar Ultrawideband Antenna via
Corrugation. IEEE Antennas and Wireless Propagation Letters. 2008.7:685–688.
151. Abbosh, A. M. Miniaturized Microstrip-fed Tapered-slot Antenna with
Ultrawideband Performance. IEEE Antennas and Wireless Propagation Letters.
2009. 8:690–692.
152. Abbosh, A. Microwave-based System using Directional Wideband Antennas for
Head Imaging. IEEE International Workshop on Antenna Technology (iWAT).
March 4-6, 2014. Sydney, Australia: IEEE. 2014. 292–295.
153. Chen, C. H., Yung, E. K. N. and, and Hu, B. J. Miniaturised CPW-fed Circularly
Polarised Corrugated Slot Antenna with Meander Line Loaded. IEEE Electronics
Letters. 2007. 43(25):1404 – 1405.
154. DeBra, D. B. and Gottzein, E. Automatic Control in Aerospace 1992: Selected
Papers from the 12th IFAC Symposium, Ottobrunn, Germany, 7 - 11 September
1992. Great Britain: Elsevier. 1993.
155. Mofolo, M. O. R., Lysko, A. A., Clarke, W. A., and Olwal, T. O. Effects of
Variations in Structural Parameters on Performance of Switched Parasitic Arrays.
193
Southern Africa Telecommunication Networks and Applications Conference
(SATNAC). September 4-7, 2011. London: EE. 2011.
156. Khaleel, H. R. Innovation in Wearable and Flexible Antennas. United Kingdom:
WIT Press. 2013.
157. National Center for Health Statistics. Data Table of Infant Head Circumference-
for-age Charts 2001. Centers for Disease Control and Prevention. Available
from: <http://www.cdc.gov/growthcharts/html_charts/hcageinf.htm>. [8 May
2015]
158. Ching, R. P. Relationship between Head Mass and Circumference in Human
Adults. 2007. 1-5.
159. Bushby, K. M. D., Cole, T., Matthews, J. N. S., and Goodship, J. A. Centiles for
Adult Head Circumference. Archives of Disease in Childhood. 1992. 67:1286–
1287.
160. Jarvis, J. B., Janezic, M. D., F.Riddle, B., Johnk, R. T., Kabos, P., Geyer, C. L.
H. R. G., and Grosvenor, C. A. Measuring the Permittivity and Permeability of
Lossy Materials: Solids, Liquids, Metals, Building Materials, and Negative-Index
Materials. US: National Institute of Standards and Technology. 2005.
161. Mobashsher, A. T., Member, S., Abbosh, A. M., Member, S., and Wang, Y.
Microwave System to Detect Traumatic Brain Injuries Using Compact
Unidirectional Antenna and Wideband Transceiver With Veri fi cation on
Realistic Head Phantom. IEEE Transactions on Microwave Theory and
Techniques. 2014. 62(9):1826–1836.
162. Abbosh, A., and Bialkowski, M. Design of UWB Planar Antenna for Microwave
Imaging Systems. 2007. IEEE International Conference on Signal Processing
and Communications (ICSPC). November 24-27, 2007. Dubai, United Arab
Emirates: IEEE. 2007. 24–27.
163. Zeng, X., Fhager, A., Persson, M., Linner, P., and Zirath, H. Accuracy
Evaluation of Ultrawideband Time Domain Systems for Microwave Imaging.
IEEE Transactions on Antennas and Propagation. 2011. 59(11):4279–4285.
164. Xu, H.-Y., Zhang, H., Li, G.-Y., Xu, Q.-B., and Lu, K. An Ultra-wideband
Fractal Slot Antenna with Low Backscattering Cross Section. Microwave and
Optical Technology Letters. 2011. 53(5):1150–1154.
165. Zhang, H., Flynn, B., Erdogan, A. T., and Arslan, T. Microwave Imaging for
Brain Tumour Detection using an UWB Vivaldi Antenna Array. Loughborough
194
Antennas & Propagation Conference. November 12-13, 2012. Leicestershire,
United Kingdom: IEEE. 2012. 1–4.
166. Fear, E. C., Li, X., Hagness, S. C., and Stuchly, M. A. Confocal Microwave
Imaging for Breast Cancer Detection: Localization of Tumors in Three
Dimensions. IEEE Transactions on Biomedical Engineering. 2002. 49(8):812–
22.
167. Soh, P. J., Bergh, B. V. D., Xu, H., Aliakbarian, Farsi, H., Samal, S. P.,
Vandenbosch, G. A. E., Schreurs, D. M. M. P., and Nauwelaers, B. K. J. C. A
Smart Wearable Textile Array System for Biomedical Telemetry Applications.
IEEE Transactions on Microwave Theory and Techniques. 2013. 61(5):2253–
2261.
168. Sachs, J. Handbook of Ultra-Wideband Short-Range Sensing: Theory, Sensors,
Applications. Weinheim, Germany: John Wiley & Sons. 2013.
169. Carin, L. and Felsen, L. B. Ultra-Wideband, Short-Pulse Electromagnetics 2.
Brooklyn, New York: Springer Science & Business Media. 2013.
170. Denidni, T. A. and Augustin, G. Ultrawideband Antennas for Microwave
Imaging Systems. Bonston, London: Artech House. 2014.
171. Karathanasis, K. T., Gouzouasis, I. A., Karanasiou, I. S., Giamalaki, M. I.,
Stratakos, G., and Uzunoglu, N. K. Noninvasive Focused Monitoring and
Irradiation of Head Tissue Phantoms at Microwave Frequencies. IEEE
Transactions on Information Technology in Biomedicine. 2010. 14(3): 657–663.
172. Golio, M. The RF and Microwave Handbook. US: CRC Press. 2000.
173. Lee, A. K. and Yun, J. A Comparison of Specific Absorption Rates in SAM
Phantom and Child Head Models at 835 and 1900 MHz. IEEE Transactions on
Electromagnetic Compatibility. 2011. 53(3):619–627.
174. Permana, H., Fang, Q., and Lee, S. Comparison Study on Specific Absorption
Rate of Three Implantable Antennas Designed for Retinal Prosthesis Systems.
IET Microwaves, Antennas Propagation. 2013. 7(11):886–893.
175. Davis, C. C. and Balzano, Q. The International Intercomparison of SAR
Measurements on Cellular Telephones. IEEE Transactions on Electromagnetic
Compatibility. 2009. 51(2):210–216.
176. Soh, P. J., Vandenbosch, G. A. E., Wee, F. H., Mercuri, M., van den Bosch, A.,
Martinez-Vazquez, M., and Schreurs, D. M. M.P. SAR Evaluation of Ultra
Wideband (UWB) Textile Antennas. IEEE Topical Conference on Biomedical
195
Wireless Technologies, Networks, and Sensing Systems (BioWireleSS). Jan 19-23,
2014. California, US: IEEE. 2014. 13–15.
177. Iqbal-Faruque, M. R., Aisyah-Husni, N., Ikbal-Hossain, M., Tariqul-Islam, M.,
and Misran, N. Effects of Mobile Phone Radiation onto Human Head with
Variation of Holding Cheek and Tilt Positions. Journal of Applied Research and
Technology. 2014. 12(5):871–876.
178. Monebhurrun, V. Conservativeness of the SAM Phantom for the SAR Evaluation
in the Child’s Head. IEEE Transactions on Magnetics. 2010. 46(8):3477–3480.
179. Matin, Mohammad A. Wideband, Multiband, and Smart Reconfigurable
Antennas for Modern Wireless Communications. USA: IGI Global. 2015.
180. Vidal, N., and López-Villegas, J. M. Changes in Electromagnetic Field
Absorption in the Presence of Subcutaneous Implanted Devices: Minimizing
Increases in Absorption. IEEE Transactions on Electromagnetic Compatibility.
2010. 52(3):545–555.
181. Bernardi, P., Cavagnaro, M., and Pisa, S. Evaluation of the SAR Distribution in
the Human Head for Cellular Phones used in a Partially Closed Environment.
IEEE Transactions on Electromagnetic Compatibility. 1996. 38(3): 357–366.
182. Kamepally, S. K., Kumar, B. P., and Paidimarry, C. S. FDTD Estimation for
Accurate Specific Absorption Rate in a Tumor. International Conference on
Microelectronics, Communications and Renewable Energy (ICMiCR). June 4-6,
2013. Kanjirapally, India: IEEE. 2013.1–5.
183. Lazarescu, C., Dafinescu, V., and David, V. Specific Absorption Rate in the
Human Head due to Different Far Field Exposure Sources. International
Conference and Exposition on Electrical and Power Engineering (EPE), October
25-27,2012. Iasi, Romania: IEEE. 2012. 683–687.
184. Wang, S., Shao, Y., and Li, S. Rapid Local Specific Absorption Rate Estimation
for Magnetic Resonance Imaging. IEEE Transactions on Electromagnetic
Compatibility. 2014. 56(4): 771–779.
185. Okano, Y. and Shimoji, H. Comparison Measurement for Specific Absorption
Rate with Physically Different Procedure. IEEE Transactions on Instrumentation
and Measurement. 2012. 61(2): 439–446.