TY - GEN
T1 - A read-out strategy for high-resolution large-area SiPM-based modular gamma-ray cameras
AU - Ruiz-Gonzalez, Maria
AU - Richards, Robert G.
AU - Doty, Kimberly J.
AU - Kuo, Phillip H.
AU - Kupinski, Matthew A.
AU - Furenlid, Lars R.
AU - King, Michael A.
N1 - Funding Information: This work was partially supported by NIH/NIBIB grant 1R01EB022521. The authors disclose that Dr. Phillip H. Kuo has a financial interest in and partial employment in Invicro, a Konica Minolta Company. He is also a consultant and/or speaker for Amgen, Eisai, General Electric Healthcare, Novartis, Invicro, Bayer, Chimerix, Fusion Pharma, and UroToday. He is a recipient of research grants from Blue Earth Diagnostics and General Electric Healthcare. Publisher Copyright: © 2022 SPIE.
PY - 2022
Y1 - 2022
N2 - Ongoing developments in the field of molecular imaging have increased the need for gamma-ray detectors with better spatial resolution, while maintaining a large detection area. One approach to improve spatial resolution is to utilize smaller light sensors for finer sampling of scintillation light distribution. However, the number of required sensors per camera must increase significantly, which in turn increases the complexity of the imaging system. Examples of challenges that arise are the analog-to-digital conversion of large numbers of channels, and a bottleneck effect that results from transferring large amounts of raw list-mode data to an acquisition computer. Here we present the design of a read-out electronics system that addresses these challenges. The read-out system, which is designed for a 10"× 10"SiPM-based scintillation gamma-ray camera, can process up to 162 light-sensor signals per event. This is achieved by implementing 1-bit and non-uniform 2-bit sigma-delta modulation analogto-digital conversion, and an on-board processing system with a large number of input/output user pins and relatively high processing power. The processor is a system-on-a-module that also has SDRAM, which allows us to buffer raw list-mode data on board. The bottleneck effect is avoided by buffering event data on the camera module, and only transferring it when the main acquisition computer requests it. This design can be adapted for other crystal/sensor configurations, and can be scaled for a different number of channels.
AB - Ongoing developments in the field of molecular imaging have increased the need for gamma-ray detectors with better spatial resolution, while maintaining a large detection area. One approach to improve spatial resolution is to utilize smaller light sensors for finer sampling of scintillation light distribution. However, the number of required sensors per camera must increase significantly, which in turn increases the complexity of the imaging system. Examples of challenges that arise are the analog-to-digital conversion of large numbers of channels, and a bottleneck effect that results from transferring large amounts of raw list-mode data to an acquisition computer. Here we present the design of a read-out electronics system that addresses these challenges. The read-out system, which is designed for a 10"× 10"SiPM-based scintillation gamma-ray camera, can process up to 162 light-sensor signals per event. This is achieved by implementing 1-bit and non-uniform 2-bit sigma-delta modulation analogto-digital conversion, and an on-board processing system with a large number of input/output user pins and relatively high processing power. The processor is a system-on-a-module that also has SDRAM, which allows us to buffer raw list-mode data on board. The bottleneck effect is avoided by buffering event data on the camera module, and only transferring it when the main acquisition computer requests it. This design can be adapted for other crystal/sensor configurations, and can be scaled for a different number of channels.
KW - Gamma-ray imaging
KW - SPECT
KW - SiPM
KW - read-out electronics
KW - scintillation camera
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U2 - 10.1117/12.2610069
DO - 10.1117/12.2610069
M3 - Conference contribution
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2022
A2 - Zhao, Wei
A2 - Yu, Lifeng
PB - SPIE
T2 - Medical Imaging 2022: Physics of Medical Imaging
Y2 - 21 March 2022 through 27 March 2022
ER -