Chicago PET Development and R P i Di i l TOFPETRecent Progress in Digital TOFPET1. Heejong Kim, Chien-Min Kao, Qingguo Xie, Yun Dong,
Ming-Chi Shih, Antonio Machado, and Chin-Tu Chen2 Octavia Biris Jialin Lin Fukun Tang Lin Zhou and2. Octavia Biris, Jialin Lin, Fukun Tang, Lin Zhou, and
Henry Frisch3. Robert Wagner, Karen Byrum, and Gary Drake4. Woon-Seng Choong and William Moses
1 Department of Radiology & Committee on Medical• 1. Department of Radiology & Committee on Medical Physics, University of Chicago, IL
• 2. Enrico Fermi Institute & Department of Physics, p y ,University of Chicago, IL
• 3. High Energy Physics Division, Argonne National Laboratory Argonne ILLaboratory, Argonne, IL
• 4. Lawrence Berkeley National Laboratory, Berkeley, CA
PET Imaging Chain and UC PET R&DCyclotron/
Radiotracer Detector &
System Clinical Outcomes
& Biological[Multi-Modality
Probes][Panel-PET &
SiPM]Discoveries
[Cancer, Cardiac, Brain Drug etc ]
Subject (Human/Animal)Performance Electronics
Brain, Drug, etc.]
(Human/Animal)Performance Evaluation
[Task-Based [Digital PET]
Integration with Medicine & Biology
Image Assessment] Medicine & Biology
Quantitative Image Analysis
[MM QIA & Li t M d
Reconstruction [MM-IR & ROI-IR]
[MM QIA & List-Mode Dynamic 4D/5D QIA]
Q tit ti I iQuantitative ImagingMulti-Modality IntegrationMulti Modality Integration
High-PerformanceLow-Cost
Broad-AccessBroad-Access
PET Imaging Chain and UC PET R&DCyclotron/
Radiotracer Detector &
System Clinical Outcomes
& Biological[Multi-Modality
Probes][Panel-PET &
SiPM]Discoveries
[Cancer, Cardiac, Brain Drug etc ]
Subject (Human/Animal)Performance Electronics
Brain, Drug, etc.]
(Human/Animal)Performance Evaluation
[Task-Based [Digital PET]
Integration with Medicine & Biology
Image Assessment] Medicine & Biology
Quantitative Image Analysis
[MM QIA & Li t M d
Reconstruction [MM-IR & ROI-IR]
[MM QIA & List-Mode Dynamic 4D/5D QIA]
Imaging of Life andg gLife Processes
Patient 1 Patient 2Live Brain Dead BrainPatient 1 Patient 2
MR PET MR PET
Task-Based Image Quality AssessmentTasks Detection and EstimationTasks – Detection and Estimation
2008 IEEE NSS/MIC/RTSD2008 IEEE NSS/MIC/RTSDMIC Short Course
" Image Quality in Adaptive and Multimodality Imaging"Multimodality Imaging
20 October 2008Dresden, Germany
Organizer: Harrison Barrett,Organizer: Harrison Barrett, Matthew A. Kupinski,
Lars R FurenlidLars R. Furenlid
PET Imaging Chain and UC PET R&DCyclotron/
RadiotracerDetector &
System Clinical Outcomes
& Biological[Multi-Modality
Probes][Panel-PET &
SiPM]Discoveries
[Cancer, Cardiac, Brain Drug etc ]
Subject (Human/Animal)Performance Electronics
Brain, Drug, etc.]
(Human/Animal)Performance Evaluation
[Task-Based [Digital PET]
Integration with Medicine & Biology
Image Assessment] Medicine & Biology
Quantitative Image Analysis
[MM QIA & Li t M d
Reconstruction [MM-IR & ROI-IR]
[MM QIA & List-Mode Dynamic 4D/5D QIA]
Key Characteristics of Key Characteristics of
Biomarker GeneratorBiomarker Generator
•• Lower cost & much smaller to be Lower cost & much smaller to be located at scannerlocated at scannerTo be an approved FDA medicalTo be an approved FDA medical•• To be an approved FDA medical To be an approved FDA medical devicedevice
•• Produce dose of FProduce dose of F--18 or C18 or C--11 11 bi k i 20 ibi k i 20 ibiomarker in 20 minutesbiomarker in 20 minutes
•• Base chemistry system for drug Base chemistry system for drug discoverydiscovery
Micro AcceleratorMicro Accelerator
Mi h i t & Mi fl idi
•• Handling of micro to millicuries, not Handling of micro to millicuries, not curiescuries
Microchemistry & Microfluidics
Courtesy ofNanotek & ABT
Multi-Modality Targeting Molecular Imaging & Therapeutic Probes p
(Phage and Micelle Nanosystem)
Ultrasound, MRI, SPECT, PET, X-Ray/CT Fluorescence & TherapeuticsX-Ray/CT, Fluorescence & Therapeutics
PET Imaging Chain and UC PET R&DCyclotron/
Radiotracer Detector &
System Clinical Outcomes
& Biological[Multi-Modality
Probes][Panel-PET &
SiPM]Discoveries
[Cancer, Cardiac, Brain Drug etc ]
Subject (Human/Animal)Performance Electronics
Brain, Drug, etc.]
(Human/Animal)Performance Evaluation
[Task-Based [Digital PET]
Integration with Medicine & Biology
Image Assessment] Medicine & Biology
Quantitative Image Analysis
[MM QIA & Li t M d
Reconstruction [MM-IR & ROI-IR]
[MM QIA & List-Mode Dynamic 4D/5D QIA]
Image Co-Registration & IntegrationFusion of PET, SPECT, MRI, CT,MRI, CT,
EPRI, Histology
Halpern,Halpern, Pelizzari KarczmarWeichselbaum
PET Imaging Chain and UC PET R&DCyclotron/
Radiotracer Detector &
System Clinical Outcomes
& Biological[Multi-Modality
Probes][Panel-PET &
SiPM]Discoveries
[Cancer, Cardiac, Brain Drug etc ]
Subject (Human/Animal)Performance Electronics
Brain, Drug, etc.]
(Human/Animal)Performance Evaluation
[Task-Based [Digital PET]
Integration with Medicine & Biology
Image Assessment] Medicine & Biology
Quantitative Image Analysis
[MM QIA & Li t M d
Reconstruction[MM-IR & ROI-IR]
[MM QIA & List-Mode Dynamic 4D/5D QIA]
600 ps
2 ns
PET Imaging Chain and UC PET R&DCyclotron/
Radiotracer Detector &
SystemClinical Outcomes
& Biological[Multi-Modality
Probes][Panel-PET &
SiPM]Discoveries
[Cancer, Cardiac, Brain Drug etc ]
Subject (Human/Animal)Performance Electronics
Brain, Drug, etc.]
(Human/Animal)Performance Evaluation
[Task-Based [Digital PET]
Integration with Medicine & Biology
Image Assessment] Medicine & Biology
Quantitative Image Analysis
[MM QIA & Li t M d
Reconstruction [MM-IR & ROI-IR]
[MM QIA & List-Mode Dynamic 4D/5D QIA]
Silicon PM CharacterizationF tFront
MPPC: 1x1mm2
25-μm, 50-μm, or 100-μm
Back
Source:F 18
LYSO:1x1x10mm3 2x2x10mm3F-18 1x1x10mm3, 2x2x10mm3
F-18/LYSO Sample PulsesF 18/LYSO Sample Pulses
PMT 25-μm MPPC
50-μm MPPC 100-μm MPPC
A Table-Top PrototypeA Table Top PrototypeThe prototype consists of two HRRT Detector HeadsHRRT (High Resolution Research Tomograph) detector heads. The spacing between detectors shown is ~6 cm, which is adequate for imaging rodents.
A single double-layered, 8 x 8 LSO crystalA single double layered, 8 x 8 LSO crystal block affixes onto 4 photomultiplier tubes in the quadrant-sharing configuration.
CNMF, September 26, 2008
Central SensitivityCentral Sensitivity(GATE Simulation, 20% ER, 3ns TR)
25
30 2ns6nsS
e
15
2010ns
ensitiv
10
15ity (%)
0
5
0200 250 300 350 400 450
LLD (keV)
Noise-Equivalent Count RateNoise Equivalent Count RateComparison with reported NECR peaks
Mouse RatMouse
Reported NECR peaksReported NECR peaks
FDG Resolution phantomFDG Resolution phantomreal data
1 00.75
2.4
1.0 mm
1 35
mm
mm
2 0
1.35mm
1 7 2.0 mm
1.7 mm
Modeling the Ideal line integralModeling the responses by MC simulation
Ideal line integral
Sample ImageSample Imagereal FDG-Rat data
Ideal line integral Modeling responseIdeal line integral Modeling response
22
Initial FDG-Rat ImagesInitial FDG Rat Images1020
Transaxial
10
20
30
40
20
40
60 40
50
60
70
80
100
20 40 60 80 100
70
80120
140
160
180
200
20
40
20 40 60 80 100
220
50 100 150 200 250
60
CoronalSagittalSagittal
PET Imaging Chain and UC PET R&DCyclotron/
Radiotracer Detector &
System Clinical Outcomes
& Biological[Multi-Modality
Probes][Panel-PET &
SiPM]Discoveries
[Cancer, Cardiac, Brain Drug etc ]
Subject (Human/Animal)Performance Electronics
Brain, Drug, etc.]
(Human/Animal)Performance Evaluation
[Task-Based [Digital PET]
Integration with Medicine & Biology
Image Assessment] Medicine & Biology
Quantitative Image Analysis
[MM QIA & Li t M d
Reconstruction [MM-IR & ROI-IR]
[MM QIA & List-Mode Dynamic 4D/5D QIA]
Digital PET Data AcquisitionDigital PET Data AcquisitionA Multi-Threshold Approach
d
TDCPMT IN
V1
discriminators
TDC
C
V2
TDC
TDC
V3
TDCV4
Multi-Threshold Approachpp
•Sampling pulse at pre-defined voltagep g p p glevels.
•Output : only digitized timings.
•Pulse reconstruction using digitized timings.
•Remove analog blocks.(Pre-Amp, ADC, CFD)
Di it l Si l P i (DSP) t h l•Digital Signal Processing (DSP) technology can be utilized.
(event time, energy)PMT waveform by 20GS/s oscilloscopey psuperimposed with timing readouts by the multi-threshold board + HPTDC
Multi Threshold Board + HPTDCMulti-Threshold Board + HPTDCMulti threshold discriminator boardMulti-threshold discriminator board•2 boards with 4channels in each.
•0-700mV of adjustable threshold levelHPTDC (CERN) •0-700mV of adjustable threshold level.
•Used ADCMP582 comparators.4 chs output
•Timings at leading and falling edges.
M lti th h ld b d (l ft)
InputThreshold SetHigh Performance TDC (HPTDC)
8/32 channels.25 ps/bitMulti-threshold board (left)
connected to HPTDC module (right).25 ps/bit.developed at CERN.
Experimental Setupp p•Two Hamamatsu R9800 photomultiplier tubes
(HV 1 300V)(HV = -1,300V)•Coupled with LSO crystals
( 6.25x6.25x25mm3).S t d 5 t•Separated 5cm apart.
•Na-22 used for positron source locatedat the center.
•Multi threshold discriminator board setup:•Multi-threshold discriminator board setup:Inputs from 2 PMT signals
Thresholds : 50, 100, 200, 300mV•Timing Readout :•Timing Readout :
TDS6154 oscilloscope20GS/s.(Tektronix)
HPTDC.A Block diagram of the setup HPTDC.( 8chs, 25 ps/bit, developed at CERN)
A Block diagram of the setup.
Time Resolution of DiscriminatorTime Resolution of Discriminator
Time(ns)0.14 0.16 0.18 0.2 0.22 0.24 0.26 0.28 0.30
50
100
150
200
250
/ ndf 2χ 49.31 / 21
Constant 7.4± 270.4
Mean 0.0002± 0.1949
Sigma 0.000111± 0.007144
/ ndf 2χ 49.31 / 21
Constant 7.4± 270.4
Mean 0.0002± 0.1949
Sigma 0.000111± 0.007144
Time(ns)0.14 0.16 0.18 0.2 0.22 0.24 0.26 0.28 0.30
50
100
150
200
250
/ ndf 2χ 49.31 / 21
Constant 7.4± 270.4
Mean 0.0002± 0.1949
Sigma 0.000111± 0.007144
•Sent pulse generator signals to two channels.
Time(ns)0.14 0.16 0.18 0.2 0.22 0.24 0.26 0.28 0.30
50
100
150
200
250
/ ndf 2χ 49.31 / 21
Constant 7.4± 270.4
Mean 0.0002± 0.1949
Sigma 0.000111± 0.007144
/ ndf 2χ 49.31 / 21
Constant 7.4± 270.4
Mean 0.0002± 0.1949
Sigma 0.000111± 0.007144
Time(ns)0.14 0.16 0.18 0.2 0.22 0.24 0.26 0.28 0.30
50
100
150
200
250
/ ndf 2χ 49.31 / 21
Constant 7.4± 270.4
Mean 0.0002± 0.1949
Sigma 0.000111± 0.007144
•Measured time difference with the TDS6154 oscilloscope.
Time(ns)0.14 0.16 0.18 0.2 0.22 0.24 0.26 0.28 0.30
50
100
150
200
250
/ ndf 2χ 49.31 / 21
Constant 7.4± 270.4
Mean 0.0002± 0.1949
Sigma 0.000111± 0.007144
/ ndf 2χ 49.31 / 21
Constant 7.4± 270.4
Mean 0.0002± 0.1949
Sigma 0.000111± 0.007144
Time(ns)0.14 0.16 0.18 0.2 0.22 0.24 0.26 0.28 0.30
50
100
150
200
250
/ ndf 2χ 49.31 / 21
Constant 7.4± 270.4
Mean 0.0002± 0.1949
Sigma 0.000111± 0.007144
•Time resolution of single channel : ~13.3ps(FWHM)
Time(ns)0.14 0.16 0.18 0.2 0.22 0.24 0.26 0.28 0.30
50
100
150
200
250
/ ndf 2χ 49.31 / 21
Constant 7.4± 270.4
Mean 0.0002± 0.1949
Sigma 0.000111± 0.007144
/ ndf 2χ 49.31 / 21
Constant 7.4± 270.4
Mean 0.0002± 0.1949
Sigma 0.000111± 0.007144
Time(ns)0.14 0.16 0.18 0.2 0.22 0.24 0.26 0.28 0.30
50
100
150
200
250
/ ndf 2χ 49.31 / 21
Constant 7.4± 270.4
Mean 0.0002± 0.1949
Sigma 0.000111± 0.007144
Time offset between two channelsof the Multi-threshold discriminator.
Pulse Reconstruction (HPTDC)Pulse Reconstruction (HPTDC)
Charge(pC)0 100 200 300 400 500 600 700 8000
20
40
60
80
100
120
/ ndf 2χ 83.05 / 31
Constant 4.4± 121.4
Mean 0.6± 369.6
Sigma 0.48± 20.76
/ ndf 2χ 88.29 / 33
Constant 3.73± 92.92
Mean 0.8± 357.5
Sigma 0.78± 27.02
PMT Signal
Reconstructed
•Select the gamma coincidence events.events with 2, 3 and 4 hits from each b d
Charge(pC)0 100 200 300 400 500 600 700 8000
20
40
60
80
100
120
/ ndf 2χ 83.05 / 31
Constant 4.4± 121.4
Mean 0.6± 369.6
Sigma 0.48± 20.76
/ ndf 2χ 88.29 / 33
Constant 3.73± 92.92
Mean 0.8± 357.5
Sigma 0.78± 27.02
PMT Signal
Reconstructed
board.
•Reconstructed pulse shape.
Charge(pC)0 100 200 300 400 500 600 700 8000
20
40
60
80
100
120
/ ndf 2χ 83.05 / 31
Constant 4.4± 121.4
Mean 0.6± 369.6
Sigma 0.48± 20.76
/ ndf 2χ 88.29 / 33
Constant 3.73± 92.92
Mean 0.8± 357.5
Sigma 0.78± 27.02
PMT Signal
Reconstructed •Linear fit on the leading edge. (event time).
Charge(pC)0 100 200 300 400 500 600 700 8000
20
40
60
80
100
120
/ ndf 2χ 83.05 / 31
Constant 4.4± 121.4
Mean 0.6± 369.6
Sigma 0.48± 20.76
/ ndf 2χ 88.29 / 33
Constant 3.73± 92.92
Mean 0.8± 357.5
Sigma 0.78± 27.02
PMT Signal
Reconstructed
•Exponential fit on the falling edge. (energy, decay constant)
Energy distribution of 511keV gamma.
Pulse Recontstruction 2Pulse Recontstruction - 2
Time(ns)0 10 20 30 40 50 60 70 80 90 1000
50
100
150
200
250
300
350 / ndf 2χ 2.673 / 10
Constant 10.9± 340.1
Mean 0.04± 44.82
Sigma 0.032± 1.709
/ ndf 2χ 25 / 20
Constant 4.9± 150
Mean 0.11± 43.89
Sigma 0.078± 3.903
PMT Signal
Reconstructed
Time(ns)0 10 20 30 40 50 60 70 80 90 1000
50
100
150
200
250
300
350 / ndf 2χ 2.673 / 10
Constant 10.9± 340.1
Mean 0.04± 44.82
Sigma 0.032± 1.709
/ ndf 2χ 25 / 20
Constant 4.9± 150
Mean 0.11± 43.89
Sigma 0.078± 3.903
PMT Signal
Reconstructed
20GS waveform Multi-threshold
Energy resolution 13%(FWHM)
Time(ns)0 10 20 30 40 50 60 70 80 90 1000
50
100
150
200
250
300
350 / ndf 2χ 2.673 / 10
Constant 10.9± 340.1
Mean 0.04± 44.82
Sigma 0.032± 1.709
/ ndf 2χ 25 / 20
Constant 4.9± 150
Mean 0.11± 43.89
Sigma 0.078± 3.903
PMT Signal
Reconstructed
resolution 13%(FWHM) 18%
Decay constant
45ns (4ns width)
44ns (9ns width)
Time(ns)0 10 20 30 40 50 60 70 80 90 1000
50
100
150
200
250
300
350 / ndf 2χ 2.673 / 10
Constant 10.9± 340.1
Mean 0.04± 44.82
Sigma 0.032± 1.709
/ ndf 2χ 25 / 20
Constant 4.9± 150
Mean 0.11± 43.89
Sigma 0.078± 3.903
PMT Signal
Reconstructed
( ) ( )
The decay time constant.
Coincidence Timing ResolutionCoincidence Timing Resolution
Time(ns)-1.5 -1 -0.5 0 0.5 1 1.50
20
40
60
80
100
120
140
/ ndf 2χ 58.95 / 53
Constant 3.9± 140.9
Mean 0.0032± -0.1597
Sigma 0.0023± 0.1399
•Select the coincidence events.
L t fit t th l di d
Time(ns)-1.5 -1 -0.5 0 0.5 1 1.50
20
40
60
80
100
120
140
/ ndf 2χ 58.95 / 53
Constant 3.9± 140.9
Mean 0.0032± -0.1597
Sigma 0.0023± 0.1399
•Least square fit to the leading edge timings.
Use two leading edges
Time(ns)-1.5 -1 -0.5 0 0.5 1 1.50
20
40
60
80
100
120
140
/ ndf 2χ 58.95 / 53
Constant 3.9± 140.9
Mean 0.0032± -0.1597
Sigma 0.0023± 0.1399
•Use two leading edgeswith100, 200mV thresholds.
•Extrapolated at 0mV
Time(ns)-1.5 -1 -0.5 0 0.5 1 1.50
20
40
60
80
100
120
140
/ ndf 2χ 58.95 / 53
Constant 3.9± 140.9
Mean 0.0032± -0.1597
Sigma 0.0023± 0.1399
•Extrapolated at 0mV.
•The time difference, t1-t2. (FWHM)Oscilloscope : 330ps
Time difference of 511keV gammacoincidence events
Oscilloscope : 330psHPTDC : 350ps
PET Imaging Chain and UC PET R&DCyclotron/
Radiotracer Detector &
System Clinical Outcomes
& Biological[Multi-Modality
Probes][Panel-PET &
SiPM]Discoveries
[Cancer, Cardiac, Brain Drug etc ]
Subject (Human/Animal)Performance Electronics
Brain, Drug, etc.]
(Human/Animal)Performance Evaluation
[Task-Based [Digital PET]
Integration with Medicine & Biology
Image Assessment] Medicine & Biology
Quantitative Image Analysis
[MM QIA & Li t M d
Reconstruction [MM-IR & ROI-IR]
[MM QIA & List-Mode Dynamic 4D/5D QIA]
Motor Activity Study (Stroke)Motor Activity Study (Stroke)
Motor Activity StudiesMotor Activity Studies