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Article

Evaluation of Large-Area Silicon Photomultiplier Arrays for Positron Emission Tomography Systems

1
Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, Korea
2
Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul 03080, Korea
3
Medical Research Center, Institute of Radiation Medicine, Seoul National University College of Medicine, Seoul 03080, Korea
4
Brightonix Imaging Inc., Seoul 04782, Korea
*
Author to whom correspondence should be addressed.
Electronics 2021, 10(6), 698; https://doi.org/10.3390/electronics10060698
Submission received: 22 February 2021 / Revised: 11 March 2021 / Accepted: 11 March 2021 / Published: 16 March 2021
(This article belongs to the Section Bioelectronics)

Abstract

:
An individual readout of silicon photomultipliers (SiPMs) would enhance the performance of modern positron emission tomography (PET) systems. However, as it difficult to achieve in practice, a multiplexing readout of SiPM arrays could be performed instead. In this study, we characterized the performance of three PET detector modules utilizing three different SiPM models with active areas of 3 × 3, 4 × 4, and 6 × 6 mm2. Each SiPM array was coupled with a 4 × 4 LYSO crystal block. For SiPM multiplexing, we used a discretized positioning circuit to obtain position and energy information, and applied a first-order capacitive high-pass filter to enhance the time-of-flight measurement capability of the PET detector. The energy performance was similar among the three different SiPM arrays, with an energy resolution of 10%–11%. The best timing performance was achieved with the SiPM array with an active area of 6 × 6 mm2, which yielded a coincidence timing resolution (CTR) value of 401 ps FWHM when an analog high-pass filter was applied. We expect that, in combination with high-performance SiPM multiplexing techniques, the SiPM array with an active area of 6 × 6 mm2 can provide a cost-effective solution for developing a whole-body PET scanner.

1. Introduction

Modern positron emission tomography (PET) scanners are constructed with silicon photomultipliers (SiPMs) that are coupled to fast and bright scintillation crystals [1,2,3,4,5,6,7,8,9]. In principle, an individual readout of SiPMs could result in the best performance of PET systems. However, it is technically challenging to individually handle all the output channels from SiPM arrays because of the high granularity of SiPMs, especially at the level of a full-ring PET system. Therefore, a multiplexing readout of SiPM arrays that achieves minimal performance degradation of PET detectors is a useful approach for developing PET systems [10,11,12,13,14,15,16].
To effectively detect high-energy photons, a SiPM array that features a pixel size of 3 to 6 mm is widely utilized in many applications. However, the SiPM array with an active area of 6 × 6 mm2 (6 mm SiPM) is not commonly utilized for PET hardware development because its timing performance is typically worse than those of SiPMs with an active area of 3 × 3 mm2 (3 mm SiPM) and 4 × 4 mm2 (4 mm SiPM) owing to its large terminal capacitance [17]. Nevertheless, the 6 mm SiPM has a lower manufacturing cost per unit active area than the 3 and 4 mm SiPMs, thereby reducing the overall development cost of the PET system. Along with a light-sharing crystal array with a small crystal size, the 6 mm SiPM can also provide a 3–4 mm spatial resolution suitable for whole-body PET applications. Furthermore, the printed circuit board (PCB) design of PET electronics can be further simplified by using the 6 mm SiPM rather than the 3 and 4 mm SiPMs as fewer SiPM elements would be needed to cover the same photosensitive area.
The aim of this study was to characterize the performance of large-area SiPM arrays with different active areas (i.e., 3 × 3, 4 × 4, and 6 × 6 mm2) and demonstrate the usefulness of the 6 mm SiPM for cost-effective whole-body PET applications. Here, we comparatively evaluated the detector performance in terms of light output, energy resolution, and coincidence timing resolution (CTR). Specifically, we assessed the timing performance of three SiPM arrays with and without the application of an analog high-pass filter. All the detector performances were characterized as a function of overvoltage, which is determined by the voltage difference between the bias voltage and the breakdown voltage of the SiPM array.

2. Materials and Methods

2.1. PET Detector

We evaluated three different PET detector modules that cover a total photosensitive area of 26 × 26 mm2 using three different types of SiPM arrays: (a) An 8 × 8 array with an active area of 3 × 3 mm2 (3 mm array; S14161-3050 HS-08; HPK); (b) a 6 × 6 array with an active area of 4 × 4 mm2 (4 mm array; S14161-4050 HS-06; HPK); and (c) a 4 × 4 array with an active area of 6 × 6 mm2 (6 mm array; S14161-6050 HS-04; HPK). Each SiPM array was coupled with a 4 × 4 cerium-doped LYSO crystal block (EPIC Crystal), and the size of a single LYSO crystal was 3.85 × 4.3 × 20 mm3. All the LYSO crystals were optically isolated with a BaSO4 reflector. The LYSO crystal block and the SiPM arrays were tightly coupled using optical grease (BC-630, Saint-Gobain).

2.2. SiPM Multiplexing Circuit

For SiPM multiplexing, we utilized a discretized positioning circuit (DPC) [18] because it is a well-established charge division multiplexing method and requires a smaller number of electronic components than other multiplexing networks. Figure 1 illustrated detailed schematics of amplifier board. The bias voltage was supplied to the SiPM array via a common cathode. Each SiPM anode signal was divided into two branches. One branched anode was connected to the DPC to encode the interacted position and deposited energy of 511 keV annihilation photons. The DPC network was adaptively applied to three different SiPM arrays, as shown in Figure 2 Four-corner signals of the DPC network (i.e., A, B, C, and D) were amplified using a low-gain non-inverting amplifier (OPA4684, Texas Instruments). The other branched anodes were multiplexed via serial resistors and passed through a first-order capacitive high-pass filter to generate timing signals. The timing signals were subsequently amplified using a dual-stage non-inverting amplifier. [19,20].

2.3. Experimental Setup

Figure 3 shows the experimental setup used in this study. All the experiments were performed at 20 °C in a temperature-controlled box. We used a reference detector based on a Hamamatsu R9800 photomultiplier tube (PMT) coupled with a single 4 × 4 × 10 mm3 LYSO crystal. The single timing resolution (STR) of the reference detector was 252 ps FWHM. A 22 Na point source (~8 μCi) was placed at the PMT entrance window. The distance between the PET detector module and the reference detector was 10 cm. We employed a series of nuclear instrumentation modules (NIMs) for coincidence detection. The PMT dynode signal was duplicated via a fan-in/fan-out NIM (N401, CAEN). Both timing signals (T-trig.) and the PMT dynode signal were fed into a NIM constant fraction discriminator (CFD) (N843, CAEN) to generate a trigger signal. The trigger signals from the PET detector module and reference detector were fed into a NIM AND logic gate (N455, CAEN) and subsequently connected to a fast-trigger port (TR0) as an input for a domino-ring sampler 4 (DRS4)-based digitizer (DT5742 B, CAEN). Each PMT dynode signal, four-corner signals, and timing signal were individually sampled by the DRS4 digitizer with a sampling rate of 5 giga samples per second (GSPS).

2.4. Data Analysis

The deposited energy of the annihilation photons was calculated by summing the integrated charge of each four-corner signal (Figure 4a). The integration window was 150 ns. The energy resolution was estimated by fitting the 511 keV photopeak window with a Gaussian curve. We generated a 2 D flood histogram using the integrated charge of each of the four-corner signals using the following equations:
x =   Q A   +   Q B     Q C     Q D Q A   +   Q B   +   Q C   +   Q D
y =   Q A     Q B     Q C   +   Q D Q A   +   Q B   +   Q C   +   Q D
where QA, QB, QC, and QD correspond to the integrated charge from each of the four-corner signals.
The arrival time of the annihilation photons was measured by applying the digital leading-edge discrimination (LED) method with a threshold of 7% of the pulse amplitude that falls into the energy window around the 511 keV photopeak. The baseline correction was performed on an event-by-event basis. Only the coincidence events that fell into the energy window of [-FWHM, FWHM] around the 511 keV photopeak were used for the CTR measurement. To avoid high-frequency noise interference between the adjacent data acquisition (DAQ) channels within the DRS4 chip, we performed an inter-chip measurement [21]. We comparatively evaluated the PET timing performance with and without applying the capacitive filtering techniques for the three different SiPM arrays (Figure 4b). We characterized the timing performance of each SiPM array with varying SiPM overvoltages ranging from 5 to 10 V.

3. Results

3.1. Flood Histogram

Figure 5 shows the 2 D flood histograms. All 16 LYSO crystal elements were clearly separated from the flood histograms. However, the resolution was degraded at the edges and corners of the scintillator array as shown in Figure 6.

3.2. Energy Performance

Figure 7 shows the photopeak value as a function of overvoltage. The photopeak value reflects the amount of visible photons collected from scintillation crystals. A similar tendency in the light output was observed for the 3 and 4 mm arrays. At an overvoltage of 5 to 7 V, the 3 and 4 mm arrays yielded a higher photopeak value than the 6 mm array. As the overvoltage increased, the photopeak value of the 6 mm array exceeded those of the 3 and 4 mm arrays, yielding the highest light output at an overvoltage of 10 V.
Figure 8 shows the energy resolution as a function of the overvoltage. The average energy resolution with application of an analog high-pass filter was 11.4% ± 0.8%, 11.1% ± 0.7%, and 10.6% ± 0.6% for the 3, 4, and 6 mm arrays, respectively. The average energy resolution without application of the analog high-pass filter was 11.1 ± 0.3%, 10.8 ± 0.4%, and 10.4 ± 0.3% for the 3, 4, and 6 mm arrays, respectively. The best energy resolution was achieved with the 6 mm array and could be attributed to the higher photopeak value, which reflects a higher photon detection efficiency owing to the 6 mm array having a larger number of microcells than the 3 and 4 mm arrays.

3.3. Timing Performance

Figure 9 shows the CTR value as a function of the overvoltage. Without application of the analog high-pass filter, the best CTR values of 733, 747, and 751 ps FWHM were achieved for the 3, 4, and 6 mm arrays, respectively. The timing performance was significantly improved by applying the analog high-pass filter with the best CTR values of 417, 430, and 401 ps FWHM for the 3, 4, and 6 mm arrays, respectively. The analog high-pass filter greatly improved the timing performance of large-area SiPM arrays by effectively reducing the baseline fluctuation induced by dark currents [19,20].

4. Discussion

The PET detector technology that has been the most actively studied in recent years is accurately measure time-of-flight [19,22,23,24,25,26,27,28], depth-of-interaction [29,30,31,32], and inter-crystal scattering [33,34,35]. PMTs traditionally used for PET detectors have the advantage of high quantum efficiency [23,36], but block detectors based on PMTs have limitations in improving the time resolution owing to light loss between the PMTs. To overcome this drawback, time-of-flight PET detectors using position-sensitive multi-anode PMTs have been proposed [24,25,26]. However, owing to the high price of position-sensitive PMTs, the commercialization of whole-body PET scanners was halted. The performance of SiPM, which was proposed as an alternative to PMTs for simultaneous PET/MRI systems [37,38,39], has been rapidly improved, now surpassing PMTs in terms of timing resolution. In particular, the compactness of SiPMs allows for the minimization of scintillation light loss between them and the time jitter of a single photon.
The timing resolution of the PET system is determined by several detector and system components, including scintillation crystals and photosensors. Precise time measurement electronics are also important components for obtaining good timing resolution of PET [27,28]. Although a SiPM has good timing properties, multiplexing many SiPMs to a single readout channel using resistive and capacitive charge division networks causes significant degradation of timing resolution. In this study, each SiPM anode signal was divided into timing and position signals, and the timing signals were multiplexed and amplified using a dual-stage non-inverting amplifier after passing through a first-order capacitive high-pass filter [19,20]. The high-pass filtering of the timing signal resulted in a significant improvement in CTR (Figure 9). The photopeak channels of annihilation photons, estimated by summing the position signals, does not seem to be affected by high-pass filtering (Figure 7).
Comparing the various detector performance indicators, the 6 mm array performed similarly to or better than the 3 and 4 mm arrays. All 3.85 × 4.3 × 20 mm3 LYSO crystals were resolved well in the flood map regardless of the SiPM array types. The energy performance was similar among the three different SiPM arrays, with an energy resolution of approximately 10–11%. The best timing performance was achieved for the 6 mm array with a CTR value of 401 ps FWHM. As the dimension of crystal block is smaller than the total photosensitive area of each SiPM array, it might affect to the performance of boundary crystals. Therefore, we plan to further evaluate each SiPM array using an LSO crystal block that perfectly matches the entire coverage of each SiPM array.
Several electronics techniques have been attempted to improve the time resolution of the PET detector. One of the technologies that has recently received attention is the capacitance compensation circuits that reduce effective device capacitance [22,40,41]. Another notable technique is improving the accuracy of time-of-flight estimation using deep learning [42], which has been successful in many medical image and signal processing fields [43,44,45,46,47]. However, these interesting techniques have so far been applied only to single-channel scintillation detectors. It will be necessary to study whether it is possible to improve the time resolution of multiplexed SiPM array-based PET detectors by applying these techniques.
Although all individual elements in scintillator arrays were resolved well in the flood histograms, the resolution was degraded at the edges and corners of the scintillator array as shown in Figure 6. In the DPC Network used for charge (current) division in this study, the output impedance of signal source should be high and the four-corner signals (i.e., A, B, C, and D outputs) should be terminated with low impedance amplifiers (e.g., charge or current sensitive amplifiers) [18]. Unideal signal source output impedance and DPC termination impedance are potential sources of the pincushion distortion and resolution degradation at the edges and corners shown in Figure 5 and Figure 6. Therefore, it will be necessary to upgrade our DPC to mitigate the degradation while maintaining good timing resolution. It needs to be modified to adopt high output capacitance SiPMs, and other analog position encoding network can also be considered.

5. Conclusions

In this study, we characterized a large-area SiPM array that features different active areas of 3 × 3, 4 × 4, and 6 × 6 mm2, respectively. We expect that the 6 mm array can provide a cost-effective solution for whole-body PET applications in combination with high-performance SiPM multiplexing. Further optimization of the timing performance will be performed to enhance the time-of-flight capability of whole-body PET applications.

Author Contributions

Conceptualization, M.S., H.P., and J.S.L.; methodology and investigation, M.S. and H.P; writing—original draft preparation, review, and editing; M.S., H.P., and J.S.L.; supervision and funding acquisition, J.S.L. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by grants from the National Research Foundation of Korea (NRF) funded by the Korean Ministry of Science, ICT and Future Planning (grant no. NRF-2016 R1 A2 B3014645).

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Detailed schematic of amplifier board. (a) Silicon photomultipliers (SiPM) biasing and signal path as an input for discretized positioning circuit (DPC) network and timing signal, respectively. (b) Non-inverting amplifier for generating position and deposited energy information. (c) Dual-stage non-inverting amplifier for generating trigger signal.
Figure 1. Detailed schematic of amplifier board. (a) Silicon photomultipliers (SiPM) biasing and signal path as an input for discretized positioning circuit (DPC) network and timing signal, respectively. (b) Non-inverting amplifier for generating position and deposited energy information. (c) Dual-stage non-inverting amplifier for generating trigger signal.
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Figure 2. DPC network for the (a) 3 mm array, (b) 4 mm array, and (c) 6 mm array. The 6 mm array required the smallest number of electronic components, thereby achieving less complex PCB design per unit area.
Figure 2. DPC network for the (a) 3 mm array, (b) 4 mm array, and (c) 6 mm array. The 6 mm array required the smallest number of electronic components, thereby achieving less complex PCB design per unit area.
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Figure 3. Experimental setup.
Figure 3. Experimental setup.
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Figure 4. Waveforms of the (a) four-corner signals, and (b) timing signals after amplified by non-inverting amplifier as shown in Figure 1b,c.
Figure 4. Waveforms of the (a) four-corner signals, and (b) timing signals after amplified by non-inverting amplifier as shown in Figure 1b,c.
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Figure 5. Flood histogram for the (a) 3 mm array, (b) 4 mm array, and (c) 6 mm array.
Figure 5. Flood histogram for the (a) 3 mm array, (b) 4 mm array, and (c) 6 mm array.
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Figure 6. Position dependency of resolution: (a) Flood histogram for 6 mm array measured using overvoltage yielding the best timing resolution and (b) horizontal and vertical projection histograms and FWHM (pixel) of peak distributions of projection histograms.
Figure 6. Position dependency of resolution: (a) Flood histogram for 6 mm array measured using overvoltage yielding the best timing resolution and (b) horizontal and vertical projection histograms and FWHM (pixel) of peak distributions of projection histograms.
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Figure 7. Photopeak value as a function of the overvoltage: (a) With and (b) without application of the analog high-pass filter.
Figure 7. Photopeak value as a function of the overvoltage: (a) With and (b) without application of the analog high-pass filter.
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Figure 8. Average energy resolution as a function of overvoltages: (a) With and (b) without application of the analog high-pass filter.
Figure 8. Average energy resolution as a function of overvoltages: (a) With and (b) without application of the analog high-pass filter.
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Figure 9. Average coincidence timing resolution (CTR) as a function of overvoltages: (a) With and (b) without application of the analog high-pass filter.
Figure 9. Average coincidence timing resolution (CTR) as a function of overvoltages: (a) With and (b) without application of the analog high-pass filter.
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Seo, M.; Park, H.; Lee, J.S. Evaluation of Large-Area Silicon Photomultiplier Arrays for Positron Emission Tomography Systems. Electronics 2021, 10, 698. https://doi.org/10.3390/electronics10060698

AMA Style

Seo M, Park H, Lee JS. Evaluation of Large-Area Silicon Photomultiplier Arrays for Positron Emission Tomography Systems. Electronics. 2021; 10(6):698. https://doi.org/10.3390/electronics10060698

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Seo, Minjee, Haewook Park, and Jae Sung Lee. 2021. "Evaluation of Large-Area Silicon Photomultiplier Arrays for Positron Emission Tomography Systems" Electronics 10, no. 6: 698. https://doi.org/10.3390/electronics10060698

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