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Adaptive permissible region based random Kaczmarz reconstruction method for localization of carotid atherosclerotic plaques in fluorescence molecular tomography
Zhang, Peng1; Liu, Jie1; Yin, Lin2; An, Yu3,6; Zhang, Suhui4; Tong, Wei4; Hui, Hui2,5; Tian, Jie2,3,6,7
发表期刊PHYSICS IN MEDICINE AND BIOLOGY
ISSN0031-9155
2022-09-07
卷号67期号:17页码:13
通讯作者Liu, Jie(jieliu@bjtu.edu.cn) ; Hui, Hui(hui.hui@ia.ac.cn) ; Tian, Jie(tian@ieee.org)
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.
关键词fluorescence molecular tomography reconstruction method adaptive permissible region atherosclerotic plaques
DOI10.1088/1361-6560/ac8718
关键词[WOS]MORPHOLOGICAL RECONSTRUCTION ; SPARSE RECONSTRUCTION ; IMAGE-RECONSTRUCTION ; OPTICAL TOMOGRAPHY ; ALGORITHM
收录类别SCI
语种英语
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]
项目资助者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
WOS研究方向Engineering ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目Engineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号WOS:000844321700001
出版者IOP Publishing Ltd
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/50066
专题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.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
3.Beihang Univ, Sch Engn Med, Beijing 100191, Peoples R China
4.Peoples Liberat Army Gen Hosp, Med Ctr 6, Senior Dept Cardiol, Beijing 100853, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100080, Peoples R China
6.Beihang Univ, Minist Ind & Informat Technol, Key Lab Big Data Based Precis Med, Beijing 100191, Peoples R China
7.Jinan Univ, Zhuhai Peoples Hosp, Zhuhai Precis Med Ctr, Zhuhai 519000, Peoples R China
通讯作者单位中国科学院分子影像重点实验室
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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