Adaptive permissible region based random Kaczmarz reconstruction method for localization of carotid atherosclerotic plaques in fluorescence molecular tomography | |
Zhang, Peng2; Liu, Jie2; Yin, Lin1; An, Yu4,7; Zhang, Suhui6; Tong, Wei6; Hui, Hui1,5; Tian, Jie1,3,4,7 | |
刊名 | PHYSICS IN MEDICINE AND BIOLOGY
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2022-09-07 | |
卷号 | 67期号:17页码:13 |
关键词 | fluorescence molecular tomography reconstruction method adaptive permissible region atherosclerotic plaques |
ISSN号 | 0031-9155 |
DOI | 10.1088/1361-6560/ac8718 |
通讯作者 | Liu, Jie(jieliu@bjtu.edu.cn) ; Hui, Hui(hui.hui@ia.ac.cn) ; Tian, Jie(tian@ieee.org) |
英文摘要 | Objective. In this study, we propose the adaptive permissible region based random Kaczmarz method as an improved reconstruction method to recover small carotid atherosclerotic plaque targets in rodents with high resolution in fluorescence molecular tomography (FMT). Approach. We introduce the random Kaczmarz method as an advanced minimization method to solve the FMT inverse problem. To satisfy the special condition of this method, we proposed an adaptive permissible region strategy based on traditional permissible region methods to flexibly compress the dimension of the solution space. Main results. Monte Carlo simulations, phantom experiments, and in vivo experiments demonstrate that the proposed method can recover the small carotid atherosclerotic plaque targets with high resolution and accuracy, and can achieve lower root mean squared error and distance error (DE) than other traditional methods. For targets with 1.5 mm diameter and 0.5 mm separation, the DE indicators can be improved by up to 40%. Moreover, the proposed method can be utilized for in vivo locating atherosclerotic plaques with high accuracy and robustness. Significance. We applied the random Kaczmarz method to solve the inverse problem in FMT and improve the reconstruction result via this advanced minimization method. We verified that the FMT technology has a great potential to locate and quantify atherosclerotic plaques with higher accuracy, and can be expanded to more preclinical research. |
资助项目 | National Key Research and Development Program of China[2017YFA0700401] ; National Natural Science Foundation of China[62027901] ; National Natural Science Foundation of China[81827808] ; National Natural Science Foundation of China[KKA309004533] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81671851] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81571836] ; CAS Youth Innovation Promotion Association[2018167] ; CAS Key Technology Talent Program ; Project of High-Level Talents Team Introduction in Zhuhai City[Zhuhai HLHPTP201703] |
WOS关键词 | MORPHOLOGICAL RECONSTRUCTION ; SPARSE RECONSTRUCTION ; IMAGE-RECONSTRUCTION ; OPTICAL TOMOGRAPHY ; ALGORITHM |
WOS研究方向 | Engineering ; Radiology, Nuclear Medicine & Medical Imaging |
语种 | 英语 |
出版者 | IOP Publishing Ltd |
WOS记录号 | WOS:000844321700001 |
资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; CAS Youth Innovation Promotion Association ; CAS Key Technology Talent Program ; Project of High-Level Talents Team Introduction in Zhuhai City |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/50065] ![]() |
专题 | 自动化研究所_中国科学院分子影像重点实验室 |
通讯作者 | Liu, Jie; Hui, Hui; Tian, Jie |
作者单位 | 1.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China 2.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China 3.Jinan Univ, Zhuhai Peoples Hosp, Zhuhai Precis Med Ctr, Zhuhai 519000, Peoples R China 4.Beihang Univ, Minist Ind & Informat Technol, Key Lab Big Data Based Precis Med, Beijing 100191, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100080, Peoples R China 6.Peoples Liberat Army Gen Hosp, Med Ctr 6, Senior Dept Cardiol, Beijing 100853, Peoples R China 7.Beihang Univ, Sch Engn Med, Beijing 100191, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Peng,Liu, Jie,Yin, Lin,et al. Adaptive permissible region based random Kaczmarz reconstruction method for localization of carotid atherosclerotic plaques in fluorescence molecular tomography[J]. PHYSICS IN MEDICINE AND BIOLOGY,2022,67(17):13. |
APA | Zhang, Peng.,Liu, Jie.,Yin, Lin.,An, Yu.,Zhang, Suhui.,...&Tian, Jie.(2022).Adaptive permissible region based random Kaczmarz reconstruction method for localization of carotid atherosclerotic plaques in fluorescence molecular tomography.PHYSICS IN MEDICINE AND BIOLOGY,67(17),13. |
MLA | Zhang, Peng,et al."Adaptive permissible region based random Kaczmarz reconstruction method for localization of carotid atherosclerotic plaques in fluorescence molecular tomography".PHYSICS IN MEDICINE AND BIOLOGY 67.17(2022):13. |
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