Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
NIR-II/NIR-I Fluorescence Molecular Tomography of Heterogeneous Mice Based on Gaussian Weighted Neighborhood Fused Lasso Method | |
Cai, Meishan1,2; Zhang, Zeyu1,3; Shi, Xiaojing1,2; Hu, Zhenhua1,2,4; Tian, Jie1,4,5 | |
发表期刊 | IEEE TRANSACTIONS ON MEDICAL IMAGING |
ISSN | 0278-0062 |
2020-06 | |
卷号 | 39期号:6页码:2213-2222 |
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. |
关键词 | Fluorescence molecular tomography NIR-II NIR-I GWNFL method |
DOI | 10.1109/TMI.2020.2964853 |
关键词[WOS] | OPTICAL-PROPERTIES ; RECONSTRUCTION ; SYSTEM |
收录类别 | SCI |
语种 | 英语 |
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 |
项目资助者 | 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 |
WOS研究方向 | Computer Science ; Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000544923000036 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
七大方向——子方向分类 | 医学影像处理与分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/40011 |
专题 | 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.Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Peoples R China 4.Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China 5.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing 100191, 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 | 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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