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NIR-II/NIR-I Fluorescence Molecular Tomography of Heterogeneous Mice Based on Gaussian Weighted Neighborhood Fused Lasso Method

文献类型：期刊论文

作者Cai, Meishan2,4; Zhang, Zeyu4,5; Shi, Xiaojing2,4; Hu, Zhenhua1,2,4; Tian, Jie1,3,4
刊名IEEE TRANSACTIONS ON MEDICAL IMAGING
出版日期2020-06-01
卷号39期号:6页码:2213-2222
ISSN号0278-0062
关键词Fluorescence molecular tomography NIR-II NIR-I GWNFL method
DOI10.1109/TMI.2020.2964853
通讯作者Hu, Zhenhua(zhenhua.hu@ia.ac.cn) ; Tian, Jie(tian@ieee.org)
英文摘要Fluorescence molecular tomography (FMT), which can visualize the distribution of fluorescence biomarkers, has become a novel three-dimensional noninvasive imaging technique for in vivo studies such as tumor detection and lymph node location. However, it remains a challenging problem to achieve satisfactory reconstruction performance of conventional FMT in the first near-infrared window (NIR-I, 700-900nm) because of the severe scattering of NIR-I light. In this study, a promising FMT method for heterogeneous mice was proposed to improve the reconstruction accuracy using the second near-infrared window (NIR-II, 1000-1700nm), where the light scattering significantly reduced compared with NIR-I. The optical properties of NIR-II were analyzed to construct the forward model for NIR-II FMT. Furthermore, to raise the accuracy of solution of the inverse problem, we proposed a novel Gaussian weighted neighborhood fused Lasso (GWNFL) method. Numerical simulation was performed to demonstrate the outperformance of GWNFL compared with other algorithms. Besides, a novel NIR-II/NIR-I dual-modality FMT system was developed to contrast the in vivo reconstruction performance between NIR-II FMT and NIR-I FMT. To compare the reconstruction performance of NIR-II FMT with traditional NIR-I FMT, numerical simulations and in vivo experiments were conducted. Both the simulation and in vivo results showed that NIR-II FMT outperformed NIR-I FMT in terms of location accuracy and spatial overlap index. It is believed that this study could promote the development and biomedical application of NIR-II FMT in the future.
WOS关键词OPTICAL-PROPERTIES ; RECONSTRUCTION ; SYSTEM
资助项目National Key Research and Development Program of China[2017YFA0205200] ; National Key Research and Development Program of China[2016YFC0102600] ; National Natural Science Foundation of China (NSFC)[81930053] ; National Natural Science Foundation of China (NSFC)[61622117] ; National Natural Science Foundation of China (NSFC)[81671759] ; National Natural Science Foundation of China (NSFC)[81227901] ; Beijing Natural Science Foundation[JQ19027] ; Beijing Nova Program[Z181100006218046] ; Scientific Instrument Developing Project of the Chinese Academy of Sciences[YZ201672] ; Chinese Academy of Sciences[GJJSTD20170004] ; Key Research Program of the Chinese Academy of Sciences[KGZD-EW-T03] ; Innovative Research Team of High-Level Local Universities in Shanghai
WOS研究方向Computer Science ; Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000544923000036
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China (NSFC) ; Beijing Natural Science Foundation ; Beijing Nova Program ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Innovative Research Team of High-Level Local Universities in Shanghai
源URL[http://ir.ia.ac.cn/handle/173211/40010]  
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Hu, Zhenhua; Tian, Jie
作者单位1.Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
3.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing 100191, Peoples R China
4.Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
5.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Peoples R China
推荐引用方式
GB/T 7714		 Cai, Meishan,Zhang, Zeyu,Shi, Xiaojing,et al. NIR-II/NIR-I Fluorescence Molecular Tomography of Heterogeneous Mice Based on Gaussian Weighted Neighborhood Fused Lasso Method[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2020,39(6):2213-2222.
APA Cai, Meishan,Zhang, Zeyu,Shi, Xiaojing,Hu, Zhenhua,&Tian, Jie.(2020).NIR-II/NIR-I Fluorescence Molecular Tomography of Heterogeneous Mice Based on Gaussian Weighted Neighborhood Fused Lasso Method.IEEE TRANSACTIONS ON MEDICAL IMAGING,39(6),2213-2222.
MLA Cai, Meishan,et al."NIR-II/NIR-I Fluorescence Molecular Tomography of Heterogeneous Mice Based on Gaussian Weighted Neighborhood Fused Lasso Method".IEEE TRANSACTIONS ON MEDICAL IMAGING 39.6(2020):2213-2222.

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来源：自动化研究所

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