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PET/MRI insert using digital SiPMs: Investigation of MR-compatibility Jakob Wehner a,n , Bjoern Weissler a,b , Peter Dueppenbecker b,c , Pierre Gebhardt c , David Schug a , Walter Ruetten d , Fabian Kiessling e , Volkmar Schulz a,b a Physics of Molecular Imaging Systems, Department for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany b Philips Research Europe, Aachen, Germany c King's College London, London, United Kingdom d Philips Research Europe, Eindhoven, The Netherlands e Department for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany article info Available online 3 September 2013 Keywords: PET/MRI Digital SiPM MR-compatibility abstract In this work, we present an initial MR-compatibility study performed with the world's rst preclinical PET/MR insert based on fully digital silicon photo multipliers (dSiPM). The PET insert allows simulta- neous data acquisition of both imaging modalities and thus enables the true potential of hybrid PET/MRI. Since the PET insert has the potential to interfere with all of the MRI's subsystems (strong magnet, gradients system, radio frequency (RF) system) and vice versa, interference studies on both imaging systems are of great importance to ensure an undisturbed operation. As a starting point to understand the interference, we performed signal-to-noise ratio (SNR) measurements as well as dedicated noise scans on the MRI side to characterize the inuence of the PET electronics on the MR receive chain. Furthermore, improvements of sub-componentsshielding of the PET system are implemented and tested inside the MRI. To study the inuence of the MRI on the PET performance, we conducted highly demanding stress tests with gradient and RF dominated MR sequences. These stress tests unveil a sensitivity of the PET's electronics to gradient switching. & 2013 The Authors. Published by Elsevier B.V. 1. Introduction The combination of Positron Emission Tomography (PET) with its high sensitivity and the possibility for quantitative imaging and Magnetic Resonance Imaging (MRI) has the potential to become the next generation of hybrid imaging techniques [1]. In contrast to the combination of PET with Computed Tomography (CT), MRI offers a better soft tissue contrast and does not use ionizing radiation, thus reducing the overall required radiation dose signicantly. To enable the full potential of a hybrid PET/MRI system, both imaging modalities have to work simultaneously, especially to enable a high quality spatial and temporal registration of imaging data at shorter scan times. An MRI system basically consists of three main components, namely a strong magnet, a gradient system and a radio frequency (RF) system. New detector systems inside the MRI bore, e.g. a preclinical PET insert, have the potential to interfere with all these subsystems of the MRI system and vice versa. Examples for interference phenomena have been reported by several research groups: while Refs. [24] observe image degradation on the MRI side caused by the presence of a PET detector, other groups observe a direct inuence on the PET performance caused by the RF pulses of the MRI [5] or switching gradients [6]. The rst step to enable the usage of a PET detector inside the MRI was the replacement of photomultiplier tubes with solid state photo detectors, e.g. silicon photomultipliers (SiPM). Especially fully digital Silicon photomulti- pliers (dSiPMs) offer a good timing, energy and spatial resolution as well as a good temperature stability and they are a promising candidate concerning their MR-compatibility [7,8]. However, they tend to generate digital electromagnetic noise patterns which might degrade the MR image quality. Thus, proper PET system design and shielding is required to avoid interference. In this work, we started to investigate the interference phenomena and we tested the dSiPMs and our detector architecture concerning MR-compatibility. 2. Materials and methods The Hyperion-II D PET/MR insert and all its support electronics are installed (as shown in Fig. 1) on a patient tabletop and trolley, creating a easy to handle and quickly installable system [9]. The PET ring is made up of ten PET Singles Detection Modules (SDM) which are mounted on a MR-compatible gantry, thus creating a PET ring with diameter of around 210 mm [10]. One SDM (Fig. 2) Contents lists available at ScienceDirect journal homepage: www.elsevier.com/locate/nima Nuclear Instruments and Methods in Physics Research A http://dx.doi.org/10.1016/j.nima.2013.08.077 0168-9002 & 2013 The Authors. Published by Elsevier B.V. n Corresponding author. Tel.: þ49 241 80 85657. E-mail address: [email protected] (J. Wehner). URL: http://exmi.rwth-aachen.de (J. Wehner). Nuclear Instruments and Methods in Physics Research A 734 (2014) 116121 Open access under CC BY license. Open access under CC BY license.
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PET/MRI insert using digital SiPMs: Investigation of MR-compatibility

Jakob Wehner a,n, Bjoern Weissler a,b, Peter Dueppenbecker b,c, Pierre Gebhardt c,David Schug a, Walter Ruetten d, Fabian Kiessling e, Volkmar Schulz a,b

a Physics of Molecular Imaging Systems, Department for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germanyb Philips Research Europe, Aachen, Germanyc King's College London, London, United Kingdomd Philips Research Europe, Eindhoven, The Netherlandse Department for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany

a r t i c l e i n f o

Available online 3 September 2013

Keywords:PET/MRIDigital SiPMMR-compatibility

a b s t r a c t

In this work, we present an initial MR-compatibility study performed with the world's first preclinicalPET/MR insert based on fully digital silicon photo multipliers (dSiPM). The PET insert allows simulta-neous data acquisition of both imaging modalities and thus enables the true potential of hybrid PET/MRI.Since the PET insert has the potential to interfere with all of the MRI's subsystems (strong magnet,gradients system, radio frequency (RF) system) and vice versa, interference studies on both imagingsystems are of great importance to ensure an undisturbed operation. As a starting point to understandthe interference, we performed signal-to-noise ratio (SNR) measurements as well as dedicated noisescans on the MRI side to characterize the influence of the PET electronics on the MR receive chain.Furthermore, improvements of sub-components’ shielding of the PET system are implemented andtested inside the MRI. To study the influence of the MRI on the PET performance, we conducted highlydemanding stress tests with gradient and RF dominated MR sequences. These stress tests unveil asensitivity of the PET's electronics to gradient switching.

& 2013 The Authors. Published by Elsevier B.V.

1. Introduction

The combination of Positron Emission Tomography (PET) with itshigh sensitivity and the possibility for quantitative imaging andMagnetic Resonance Imaging (MRI) has the potential to become thenext generation of hybrid imaging techniques [1]. In contrast to thecombination of PET with Computed Tomography (CT), MRI offers abetter soft tissue contrast and does not use ionizing radiation, thusreducing the overall required radiation dose significantly. To enablethe full potential of a hybrid PET/MRI system, both imaging modalitieshave to work simultaneously, especially to enable a high quality spatialand temporal registration of imaging data at shorter scan times.

An MRI system basically consists of three main components,namely a strong magnet, a gradient system and a radio frequency(RF) system. New detector systems inside the MRI bore, e.g. apreclinical PET insert, have the potential to interfere with all thesesubsystems of the MRI system and vice versa. Examples forinterference phenomena have been reported by several researchgroups: while Refs. [2–4] observe image degradation on the MRI

side caused by the presence of a PET detector, other groups observea direct influence on the PET performance caused by the RF pulsesof the MRI [5] or switching gradients [6]. The first step to enable theusage of a PET detector inside the MRI was the replacement ofphotomultiplier tubes with solid state photo detectors, e.g. siliconphotomultipliers (SiPM). Especially fully digital Silicon photomulti-pliers (dSiPMs) offer a good timing, energy and spatial resolution aswell as a good temperature stability and they are a promisingcandidate concerning their MR-compatibility [7,8]. However, theytend to generate digital electromagnetic noise patterns which mightdegrade the MR image quality. Thus, proper PET system design andshielding is required to avoid interference. In this work, we startedto investigate the interference phenomena and we tested thedSiPMs and our detector architecture concerning MR-compatibility.

2. Materials and methods

The Hyperion-IID PET/MR insert and all its support electronicsare installed (as shown in Fig. 1) on a patient tabletop and trolley,creating a easy to handle and quickly installable system [9]. ThePET ring is made up of ten PET Singles Detection Modules (SDM)which are mounted on a MR-compatible gantry, thus creating aPET ring with diameter of around 210 mm [10]. One SDM (Fig. 2)

Contents lists available at ScienceDirect

journal homepage: www.elsevier.com/locate/nima

Nuclear Instruments and Methods inPhysics Research A

http://dx.doi.org/10.1016/j.nima.2013.08.0770168-9002 & 2013 The Authors. Published by Elsevier B.V.

n Corresponding author. Tel.: þ49 241 80 85657.E-mail address: [email protected] (J. Wehner).URL: http://exmi.rwth-aachen.de (J. Wehner).

Nuclear Instruments and Methods in Physics Research A 734 (2014) 116–121

Open access under CC BY license.

Open access under CC BY license.

hosts up to six detector stacks in a 2�3 arrangement (at this stageonly two stacks per module are installed) and the communicationand synchronization of multiple modules is done via plastic opticalfibers (POF) to avoid galvanic connections between the modulesand the Data Acquisition and Processing Server (DAPS, similar tothe architecture described in [11]) outside the MR examinationroom. One detector stack is composed of a crystal array (30�30,1 mm pitch), a 2 mm light guide for light sharing, an 8�8 dSiPMarray (DPC 3200-22-44 by Philips Digital Photon Counting) and alocal FPGA [7,8,12]. The SDM is housed inside an almost gammatransparent carbon fiber screen which shows good RF shieldingproperties while being mostly transparent for gradients [13]. Theinsert is designed to fit into a Philips Achieva 3T MRI system and isequipped for MR acquisition with a dedicated PET transparent T/Rmouse proton RF-coil (12 leg birdcage, high pass), which has aninner diameter of 46 mm. Consequently, the combined field-of-view (FOV) in this configuration is ∅ 46 mm�33 mm (one of thethree possible PET rings installed; up to ∅ 46 mm �100 mmwhenall detector stacks are installed).

2.1. Influence on the MR performance

To investigate the interference on the MRI system, signal-to-noise ratio (SNR) measurements without and with the PETdetector (10 SDMs) are performed. Therefore, a transversal sliceof a 50 mm cylindrical phantom (1000 ml demi water, 770 mgCuSO4 �5 H2O, 2000 mg NaCl, 0.05 ml H2SO4 – 0.1N solution) isimaged using spin echo (SE) sequences (TR/TE: 1000/50 ms, voxelsize: 0.25�0.25�1 mm3, flip angle: 901). To study the noisecreation by the PET electronics, dedicated noise scans (TSEsequence, TR/TE: 1044/256 ms, TSE factor: 32, acq. matrix:1024�1024, bandwidth per pixel: 180 Hz) are performed withthe complete PET detector and with single PET modules. Experi-ments with subsystems replacing the complete PET detector areconducted to study the RF interference in detail and to identify thenoise's origin. Improvements of the shielding of the power supplyunit (PSU) are also realized and tested with these noise scans.

2.2. Influence on the PET performance

The PET performance and stability during simultaneous opera-tion was studied with one PET module (equipped with one stack)by single event detection. PET data and system parameters likevoltages, currents and temperatures are acquired using a 22Napoint source (activity: 2.8 MBq) over a longer time period (severalminutes up to 45 min). During this data acquisition (as shown inFig. 3), highly demanding RF and gradient stress tests (withvarious switching directions) are performed in smaller timewindows (30 s–2 min).

For the gradient tests, EPI sequences (EPI factor: 49) withmaximum gradient strength (30 mT), maximal slew rates andminimal TR with defined switching directions (the individualparameters are listed in Table 1) are used and for the RF test ahighly demanding TSE sequence (TSE factor: 16, TE/TR: 21/333 ms,peak B1 amplitude: 20 μT) is executed.

3. Results and discussion

3.1. Influence on the MR performance

The SNR study shows a strong influence of the PET system onthe MR performance: while the reference scan without PETdetector delivers an MR image with a SNR (calculated accordingto NEMA standard [14]) of 159, the measurement with the PET

Fig. 1. Hyperion-IID PET insert with 10 PET modules (2 stacks each) mounted onthe patient table top of a 3T clinical MRI.

Fig. 2. One Singles Detection Module (SDM) hosts up to six detector stacks. Plasticoptical fibers are used for synchronization and communication. The module ishoused inside a carbon fiber shield.

Fig. 3. PET data acquisition scheme: PET data is acquired over a longer time period (green) while for certain smaller time windows (30–120 s) RF and gradient stress tests areperformed (red). (For interpretation of the references to color in this figure caption, the reader is referred to the web version of this paper.)

Table 1Overview of the slew rates, TR and TE of the used gradient dominated sequences.

Sequence Slew rate (mT/m/ms) TR/TE (ms)

X 184.8 28/13Y 194.5 27/13Z 192.3 25/12XY 198.0 27/13XZ 197.9 26/12YZ 197.6 24/12XYZ 198.1 26/12

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detector (10 SDMs, power on, data acquisition) reveals a SNRdegradation by a factor of 2 (SNR: 81) [9]. Fig. 4 shows thecorresponding noise spectrum of the RF system without PETdetector (black) and with detector (green: powered off andunplugged from the AC outlet, blue: data acq., red: data acq. þ2.8 MBq 22Na source). The noise floor is strongly increased, whenthe PET detector is switched on (in the frequency range of the SEimages by a factor of approx. 1.9, thus explaining the observed SNRdegradation), and features broad peaks which are shifting as afunction of time, especially in the heat up phase of the scanner.These peaks are approximately 250 kHz apart, which is also theswitching frequency of the last converter in the employedswitched mode PSU. Experiments with purely resistive loadsreplacing the PET modules have identified clearly common modenoise originating from the PSU as main noise source. As aconsequence, we improved the PSU's shielding as shown inFig. 5 (left: improved version, right: unmodified PSU): all shieldingPCBs are replaced by thick copper plates, cables near the fan grillesand the cooling fans themselves are removed to avoid field leakingthrough the fan grilles, and we installed additional fan grilles onthe outside as a second chamber, to reduce the leaking electro-magnetic (EM) fields. A drawback of this solution is the creation ofa second DC star point: the shields of the power cables (one SDMis provided by three power cables) are connected together on thePSU side and module side, thus creating potentially problematicloops in which switching gradients and RF pulses from the MRIcould couple in and could cause trouble with the supply of theSDMs. Furthermore, an effective shielding of the coaxial cablescannot be guaranteed anymore. Based on this restrictions, thepresented solution might be seen as intermediate step towards afinal solution. Fig. 6 shows the resulting noise scans of one SDM(equipped with one Stack) with the different PSU versions. Noobvious difference between the reference noise floor (black, with-out PET, average noise floor (floating point values (FPV)): 239.7(STDV: 7.9)) and the one with the modified PSU (red, average noisefloor (FPV): 239.9 (STDV: 7.8)) can be observed. In comparison tothe unmodified PSU, the modifications show clearly an improve-ment of the noise situation and so far, the drawbacks of themodifications have not harmed the operation of one single SDM.

On top of that, measurements without carbon fiber RF shield-ing (Fig. 7, green, average noise floor (FPV): 239.5 (STDV: 5.0))show only a slight increase in the noise floor compared to thereference scan (black, average noise floor (FPV): 235.3 (STDV: 4.6)).This increase appears to be negligible compared to the noiseproduced by the PSU. The noise scan does not show any digitalnoise which manifests itself as sharp spikes in the scan: theemitted digital noise seems to fall into a frequency range in whichthe MRI acquisition chain is insensitive and thus does not appearin the MRI noise scans. It is to note at this point that these

measurements are performed with one single SDM equipped withone stack. A fully equipped PET ring consists of 10 SDMs contain-ing 60 detector stacks and has the potential to disturb theacquisition of the MRI much more.

3.2. Influence on the PET performance

A first evaluation of acquired PET data inside and outside theMRI shows no degradation of PET data quality and PET perfor-mance: for instance, flood histograms and energy resolutionremain unaffected [12]. The singles data rates of the PET modulesare stable even during harsh MRI sequences [9]. However, the

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Fig. 4. Noise scan results without (black) and with PET detector (green: power off, blue: power on, red: power on þ source (2.8 MBq)). The noise floor is strongly increasedand shows broad peaks which are 250 kHz apart, corresponding to the switching frequency of the switched mode power supply. (For interpretation of the references to colorin this figure caption, the reader is referred to the web version of this paper.)

Fig. 5. Comparison of the switched mode power supplies (right: unmodified PSU,left: improved version): the shielding of the PSU is improved by replacing allshielding PCBs (yellow) by thick copper plates. Additional fan grilles are installedon the outside to reduce the leaking EM fields. (For interpretation of the referencesto color in this figure caption, the reader is referred to the web version of thispaper.)

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Fig. 6. Noise scans without PET (reference, black) and with PET (blue: unmodifiedPSU, red: modified PSU). Measurements were performed with one PET module(equipped with one stack) and the dedicated mouse coil. (For interpretation of thereferences to color in this figure caption, the reader is referred to the web version ofthis paper.)

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stress tests as described in 2.2 reveal sensitivity for gradientswitching. Fig. 8 shows the singles rate (for one sensor tile, qualityrequirements: energy cut ((511730) keV), all neighboring pixelsaround the main pixel present (quality cut on the light distribu-tion)) for different bias voltages VB (upper row: VB¼25.8 V, overvoltage (OV) ¼2.9 V ; bottom row: VB¼25.4 V, OV ¼2.5 V) as afunction of time. The time windows with the correspondinggradient switching directions are indicated by color (red andgreen) shaded areas. While the measurement with the OV of2.9 V shows singles rate drops in time regions with active zgradients by about 5.6%, the measurement with the lower biasvoltage shows a stable data acquisition without any rate drops.Interestingly, the measurement with the higher OV (2.9 V) shows alower count rate than the one with the lower OV indicating thatthe higher OV is not good operating point. This hypothesis is

supported by a worse energy resolution for the higher OV (energyresolution without gradient switching: 15.3% for OV¼2.9 V and12.9% for OV¼2.5V). Fig. 9 shows the corresponding singles energyspectra (same quality cuts as before except energy cut) in timewindows without gradients (black, shaded) and with active zgradient (red). For the measurement with 2.9 V OV (top row; left:overall energy spectrum, right: photo peak range), we observe abroadening effect of the energy resolution by 2% (without gradi-ents: 15.3%; with gradients: 17.3%) which causes, after applyingthe energy cut, the described singles rate drop of 5.6%.Furthermore, the singles count (integral over the entire energyspectrum) with active gradients NAZ is in comparison with thenumber of singles without gradient switching NNZ slightly reduced(ΔN¼NNZ�NAZ ¼ 655971461 (ratio: NAZ=NNZ ¼ 0:994)). In con-trast to this finding, the measurements with low VB (bottom row;left: overall energy spectrum, right: photo peak range) show nobroadening effect (energy resolution: 12.9%) and thus no drops inthe singles rate. The overall count of singles is not significantlyaffected by the presence of switching gradients (ΔN¼NNZ�NAZ ¼ 215573089 (ratio: NAZ=NNZ ¼ 0:9995)). Measurements ofVB (top) and bias current IB (bottom) during data acquisitionwithout and with active z gradients (black: OV ¼2.5 V, red: OV¼2.9 V) are shown in Fig. 10: the switching z gradients generateobviously a ripple on VB and IB which is especially dominant for anOV of 2.9 V. It seems that this VB setting is chosen too high since IBfluctuates strongly and uncontrollably. One explanation for thisstrong response on the gradient induced VB fluctuations might bethat the active quenching mechanism does not work properlyanymore. This would also be an explanation for the observeddegradation of the energy resolution (which is only present at thehigher OV setting) since the reload mechanism of the micro cells isdisturbed, leading to an additional spread of the photon countvalues. It is to note that the origin of the VB fluctuations and theexact influence of these fluctuations on the detector performanceis unclear at this stage. The above mentioned explanation iscurrently a working theory and has to be proven by furtherinvestigations.

4. Conclusion

We have successfully operated a fully digital PET detectorinside a 3T MRI. On the MRI side, we observed a SNR degradationby a factor of 2 which is mainly caused by common mode noisefrom the switched mode power supply. Improvements on thePSU's shielding lead to a notable reduction of the noise. In thelatest modification no difference between the reference noise floorand the one during PET acquisition is visible. Although weobserved no technical problems with the modifications duringthe operation with one SDM, a final evaluation with a completePET scanner has to be done. Until this test is conducted, thepresented solution can only be seen as intermediate step.

On the PET side, we notice that our PET system works stableeven under unrealistic demanding stress tests. Up to now, we donot observe any hiccups in the data communication. However, theperformed stress tests reveal a sensitivity for switching z gradi-ents. We observe a ripple on the bias voltage and a broadeningeffect of the energy resolution for an aggressive chosen biasvoltage setting. After application of a narrow energy cut((511730) keV) around the photo peak, this broadening effectleads to a singles rate drop by approx. 5.6%. The couplingmechanism of the gradients causing the VB fluctuations as wellthe influence of these fluctuations on the energy resolution isunclear at this stage. These questions will be subject of furtherinvestigations.

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Fig. 7. Noise scans without PET (reference, black) and with PET (green, withoutcarbon RF shielding). Measurements were performed with one PET module and thededicated mouse coil. (For interpretation of the references to color in this figurecaption, the reader is referred to the web version of this paper.)

Fig. 8. Singles rate (in counts per second (cps), averaged over 5 s intervals, energycut: (511730) keV, all pixel around main pixel present) during highly demandinggradient sequences with different switching directions (as indicated with colorshaded areas) for two different over voltages (OV) (top: OV¼2.9 V, bottom:OV¼2.5 V). Only the measurement with the higher OV shows singles rate dropsby up to 5.6% during active z gradient sequences. (For interpretation of thereferences to color in this figure caption, the reader is referred to the web versionof this paper.)

J. Wehner et al. / Nuclear Instruments and Methods in Physics Research A 734 (2014) 116–121 119

Acknowledgments

The presented work is part of the ForSaTum project (NRWEUZiel 2-Programm 2007–2013), which is co-funded by the EuropeanUnion (European Regional Development Fund – Investing in your

future) and the German federal state North Rhine-Westphalia(NRW), and MEC (Wellcome Trust 088641/Z/09/Z).

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Fig. 9. Energy histogram (left: overall, right: photo peak range) for time windows without gradient switching (black, shaded) and with switching z gradients (red) for twodifferent over voltages (OV) (top row: OV¼2.9 V, bottom row: OV¼2.5 V). (For interpretation of the references to color in this figure caption, the reader is referred to the webversion of this paper.)

Fig. 10. Measurement of the bias voltage VB (top) and bias current IB (bottom) fortwo different over voltages (OV) (black: OV¼2.5 V, red: OV¼2.9 V) as a function oftime. In time regions with active z gradients (indicated by green boundaries) astrong ripple on VB and IB occurs. (For interpretation of the references to color inthis figure caption, the reader is referred to the web version of this paper.)

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