GPU-accelerated three-dimensional reconstruction method of the Compton camera and its application in radionuclide imaging
Ren-Yao Wu
1
,
Changran Geng
1
,
Tian Feng
1
,
Zhiyang Yao
2
,
Chun Hui Gong
3
,
Hao-Nan Han
1
,
Jian-Feng Xu
1, 4
,
Yong-Shun Xiao
1
,
Xiaobin Tang
1
4
JYAMS PET Research and Development Limited, Nanjing, China
|
Publication type: Journal Article
Publication date: 2023-04-18
scimago Q1
wos Q1
SJR: 0.796
CiteScore: 5.6
Impact factor: 3.8
ISSN: 10018042, 22103147
Nuclear and High Energy Physics
Nuclear Energy and Engineering
Abstract
A novel and fast three-dimensional reconstruction method for a Compton camera and its performance in radionuclide imaging is proposed and analyzed in this study. The conical surface sampling back-projection method with scattering angle correction (CSS-BP-SC) can quickly perform the back-projection process of the Compton cone and can be used to precompute the list-mode maximum likelihood expectation maximization (LM-MLEM). A dedicated parallel architecture was designed for the graphics processing unit acceleration of the back-projection and iteration stage of the CSS-BP-SC-based LM-MLEM. The imaging results of the two-point source Monte Carlo (MC) simulation demonstrate that by analyzing the full width at half maximum along the three coordinate axes, the CSS-BP-SC-based LM-MLEM can obtain imaging results comparable to those of the traditional reconstruction algorithm, that is, the simple back-projection-based LM-MLEM. The imaging results of the mouse phantom MC simulation and experiment demonstrate that the reconstruction results obtained by the proposed method sufficiently coincide with the set radioactivity distribution, and the speed increased by more than 664 times compared to the traditional reconstruction algorithm in the mouse phantom experiment. The proposed method will further advance the imaging applications of Compton cameras.
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Total citations:
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Citations from 2024:
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(55.55%)
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Wu R. et al. GPU-accelerated three-dimensional reconstruction method of the Compton camera and its application in radionuclide imaging // Nuclear Science and Techniques/Hewuli. 2023. Vol. 34. No. 4. 52
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Wu R., Geng C., Tian Feng, Yao Z., Gong C. H., Han H., Xu J., Xiao Y., Tang X. GPU-accelerated three-dimensional reconstruction method of the Compton camera and its application in radionuclide imaging // Nuclear Science and Techniques/Hewuli. 2023. Vol. 34. No. 4. 52
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TY - JOUR
DO - 10.1007/s41365-023-01199-y
UR - https://doi.org/10.1007/s41365-023-01199-y
TI - GPU-accelerated three-dimensional reconstruction method of the Compton camera and its application in radionuclide imaging
T2 - Nuclear Science and Techniques/Hewuli
AU - Wu, Ren-Yao
AU - Geng, Changran
AU - Tian Feng
AU - Yao, Zhiyang
AU - Gong, Chun Hui
AU - Han, Hao-Nan
AU - Xu, Jian-Feng
AU - Xiao, Yong-Shun
AU - Tang, Xiaobin
PY - 2023
DA - 2023/04/18
PB - Springer Nature
IS - 4
VL - 34
SN - 1001-8042
SN - 2210-3147
ER -
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@article{2023_Wu,
author = {Ren-Yao Wu and Changran Geng and Tian Feng and Zhiyang Yao and Chun Hui Gong and Hao-Nan Han and Jian-Feng Xu and Yong-Shun Xiao and Xiaobin Tang},
title = {GPU-accelerated three-dimensional reconstruction method of the Compton camera and its application in radionuclide imaging},
journal = {Nuclear Science and Techniques/Hewuli},
year = {2023},
volume = {34},
publisher = {Springer Nature},
month = {apr},
url = {https://doi.org/10.1007/s41365-023-01199-y},
number = {4},
pages = {52},
doi = {10.1007/s41365-023-01199-y}
}