Reconstruction based on adaptive group least angle regression for fluorescence molecular tomography | |
An, Yu3; Wang, Hanfan1; Li, Jiaqian3; Li, Guanghui3; Ma, Xiaopeng2; Du, Yang1; Tian, Jie1,3 | |
刊名 | BIOMEDICAL OPTICS EXPRESS |
2023-05-01 | |
卷号 | 14期号:5页码:2225-2239 |
ISSN号 | 2156-7085 |
DOI | 10.1364/BOE.486451 |
通讯作者 | Ma, Xiaopeng(xiaopeng.ma@sdu.edu.cn) ; Du, Yang(yang.du@ia.ac.cn) ; Tian, Jie(tian@ieee.org) |
英文摘要 | Fluorescence molecular tomography can combine two-dimensional fluorescence imaging with anatomical information to reconstruct three-dimensional images of tumors. Recon-struction based on traditional regularization with tumor sparsity priors does not take into account that tumor cells form clusters, so it performs poorly when multiple light sources are used. Here we describe reconstruction based on an "adaptive group least angle regression elastic net" (AGLEN) method, in which local spatial structure correlation and group sparsity are integrated with elastic net regularization, followed by least angle regression. The AGLEN method works iteratively using the residual vector and a median smoothing strategy in order to adaptively obtain a robust local optimum. The method was verified using numerical simulations as well as imaging of mice bearing liver or melanoma tumors. AGLEN reconstruction performed better than state-of-the-art methods with different sizes of light sources at different distances from the sample and in the presence of Gaussian noise at 5-25%. In addition, AGLEN-based reconstruction accurately imaged tumor expression of cell death ligand-1, which can guide immunotherapy. |
资助项目 | National Natural Science Foundation of China[62027901] ; National Natural Science Foundation of China[61901472] ; National Natural Science Foundation of China[81871514] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81470083] ; National Natural Science Foundation of China[91859119] ; National Natural Science Foundation of China[61671449] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81930053] ; Beijing Municipal Natural Science Foundation[7212207] ; Beijing Municipal Natural Science Foundation[4232058] ; National Public Welfare Basic Scientific Research Program of Chinese Academy of Medical Sciences[2017PT32004] ; National Public Welfare Basic Scientific Research Program of Chinese Academy of Medical Sciences[2018PT32003] ; Project of High-Level Talents Team Introduction in Zhuhai City[HLHPTP201703] ; Key Research and Development Program of Shandong[2022CXGC010501] |
WOS研究方向 | Biochemistry & Molecular Biology ; Optics ; Radiology, Nuclear Medicine & Medical Imaging |
语种 | 英语 |
出版者 | Optica Publishing Group |
WOS记录号 | WOS:000994433200004 |
资助机构 | National Natural Science Foundation of China ; Beijing Municipal Natural Science Foundation ; National Public Welfare Basic Scientific Research Program of Chinese Academy of Medical Sciences ; Project of High-Level Talents Team Introduction in Zhuhai City ; Key Research and Development Program of Shandong |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/53341] |
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 | Ma, Xiaopeng; Du, Yang; Tian, Jie |
作者单位 | 1.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China 2.Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China 3.Beihang Univ, Sch Engn Med, Key Lab Big Data Based Precis Med, Minist Ind & Informat Technol Peoples Republ China, Beijing 100191, Peoples R China |
推荐引用方式 GB/T 7714 | An, Yu,Wang, Hanfan,Li, Jiaqian,et al. Reconstruction based on adaptive group least angle regression for fluorescence molecular tomography[J]. BIOMEDICAL OPTICS EXPRESS,2023,14(5):2225-2239. |
APA | An, Yu.,Wang, Hanfan.,Li, Jiaqian.,Li, Guanghui.,Ma, Xiaopeng.,...&Tian, Jie.(2023).Reconstruction based on adaptive group least angle regression for fluorescence molecular tomography.BIOMEDICAL OPTICS EXPRESS,14(5),2225-2239. |
MLA | An, Yu,et al."Reconstruction based on adaptive group least angle regression for fluorescence molecular tomography".BIOMEDICAL OPTICS EXPRESS 14.5(2023):2225-2239. |
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