TY - JOUR
T1 - Tomographic imaging with Compton PET modules
T2 - Ideal case and first implementation
AU - Peng, P.
AU - Zhang, M.
AU - Zeraatkar, N.
AU - Qi, Jinyi
AU - Cherry, S. R.
N1 - Funding Information:
The authors would like to thank members of the MIPET group at UC Davis for helpful discussions. This work was funded by NIH R01 EB019439, R01 EB028337 and R01 EB000194.
Publisher Copyright:
© 2021 IOP Publishing Ltd and Sissa Medialab.
PY - 2021/4
Y1 - 2021/4
N2 - In our previous studies, we demonstrated that the Compton PET module, a layer structure PET detector with side readout, can provide high performance in terms of spatial/energy/timing resolution, as well as high gamma ray detection efficiency. In this study, we investigate how to translate the high performance of the detector module into good quality reconstructed tomographic images. This study is performed using GATE simulation, as well as with physical experiments. Similar detector geometry is used in the simulation and experiment: two identical 4-layer detector modules are placed with face to face distance of 56 mm. In the simulation study, each layer consists of a 1-mm-pitch pixelated crystal array. In the experimental study, each layer is a monolithic crystal, which is virtually binned into 1 mm2 cells to group single events according to the gamma ray interaction locations. A customized Derenzo phantom was placed between the two detector modules. By rotating the phantom using a motorized rotary stage, data along lines of response (LORs) at different angles were collected for reconstructing the tomographic image. The same reconstruction algorithm was used for both simulation and experimental studies. The results demonstrate that the simulation study could resolve 0.8 mm rods while the experimental study was able to resolve 1.0 mm rods.
AB - In our previous studies, we demonstrated that the Compton PET module, a layer structure PET detector with side readout, can provide high performance in terms of spatial/energy/timing resolution, as well as high gamma ray detection efficiency. In this study, we investigate how to translate the high performance of the detector module into good quality reconstructed tomographic images. This study is performed using GATE simulation, as well as with physical experiments. Similar detector geometry is used in the simulation and experiment: two identical 4-layer detector modules are placed with face to face distance of 56 mm. In the simulation study, each layer consists of a 1-mm-pitch pixelated crystal array. In the experimental study, each layer is a monolithic crystal, which is virtually binned into 1 mm2 cells to group single events according to the gamma ray interaction locations. A customized Derenzo phantom was placed between the two detector modules. By rotating the phantom using a motorized rotary stage, data along lines of response (LORs) at different angles were collected for reconstructing the tomographic image. The same reconstruction algorithm was used for both simulation and experimental studies. The results demonstrate that the simulation study could resolve 0.8 mm rods while the experimental study was able to resolve 1.0 mm rods.
KW - Computer-aided diagnosis
KW - Coronary CT angiography (CTA)
KW - Gamma camera
KW - Image reconstruction in medical imaging
KW - Medical-image reconstruction methods and algorithms
KW - PET PET/CT
KW - Programs
KW - Simulation methods
KW - SPECT
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U2 - 10.1088/1748-0221/16/04/T04007
DO - 10.1088/1748-0221/16/04/T04007
M3 - Article
AN - SCOPUS:85105538416
VL - 16
JO - Journal of Instrumentation
JF - Journal of Instrumentation
SN - 1748-0221
IS - 4
M1 - T04007
ER -