CASIA OpenIR  > 中国科学院分子影像重点实验室
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
Source PublicationPHYSICS IN MEDICINE AND BIOLOGY
ISSN0031-9155
2022-09-07
Volume67Issue:17Pages:13
Corresponding AuthorLiu, Jie(jieliu@bjtu.edu.cn) ; Hui, Hui(hui.hui@ia.ac.cn) ; Tian, Jie(tian@ieee.org)
AbstractObjective. 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.
Keywordfluorescence molecular tomography reconstruction method adaptive permissible region atherosclerotic plaques
DOI10.1088/1361-6560/ac8718
WOS KeywordMORPHOLOGICAL RECONSTRUCTION ; SPARSE RECONSTRUCTION ; IMAGE-RECONSTRUCTION ; OPTICAL TOMOGRAPHY ; ALGORITHM
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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 Research AreaEngineering ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectEngineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000844321700001
PublisherIOP Publishing Ltd
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/50066
Collection中国科学院分子影像重点实验室
Corresponding AuthorLiu, Jie; Hui, Hui; Tian, Jie
Affiliation1.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
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Recommended Citation
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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