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Regularized Asymmetric Susceptibility Tensor Imaging in the Human Brain in vivo | |
2022-09-01 | |
发表期刊 | IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (IF:6.7[JCR-2023],7.1[5-Year]) |
ISSN | 2168-2194 |
EISSN | 2168-2208 |
卷号 | 26期号:9页码:1-11 |
发表状态 | 已发表 |
DOI | 10.1109/JBHI.2022.3182969 |
摘要 | Susceptibility tensor imaging (STI) is a promising tool for studying orientation-dependent tissue magnetic susceptibility and for mapping white matter fiber orientations complementary to diffusion tensor imaging (DTI). However, the limited head rotation range within modern head coils for data acquisition makes in vivo STI reconstruction ill-conditioned. Conventional STI reconstruction method is usually vulnerable to noise and requires sufficiently large head rotations to solve this ill-conditioned inverse problem. In this study, based on the recently proposed asymmetric STI (aSTI) model, a new method termed aSTI was proposed to improve in vivo STI reconstruction by enforcing isotropic susceptibility tensor inside cerebrospinal fluid (CSF) and applying morphology constraint in white matter. Experimental results showed superior performance of the proposed method with reduced noise, improved tissue contrast and better fiber orientation estimation over previous methods. Thus aSTI may promote in vivo human brain STI studies on white matter and myelin-related brain diseases. IEEE |
关键词 | Brain Brain mapping Cerebrospinal fluid Data acquisition Diffusion tensor imaging Inverse problems Magnetic anisotropy Magnetic heads Magnetic resonance imaging Magnetic susceptibility Magnetism Tissue Asymmetric susceptibility tensor Fibre orientation Head In-vivo Magnetic susceptibility anisotropy Magnetic-field Susceptibility anisotropy Susceptibility tensor imaging Susceptibility tensors Tensor imaging White matter |
URL | 查看原文 |
收录类别 | SCI ; SCIE ; EI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[ |
WOS研究方向 | Computer Science ; Mathematical & Computational Biology ; Medical Informatics |
WOS类目 | Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Medical Informatics |
WOS记录号 | WOS:000852247000018 |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
EI入藏号 | 20222612277903 |
EI主题词 | Tensors |
EI分类号 | 461.1 Biomedical Engineering ; 461.2 Biological Materials and Tissue Engineering ; 701.2 Magnetism: Basic Concepts and Phenomena ; 723.2 Data Processing and Image Processing ; 746 Imaging Techniques ; 921.1 Algebra ; 931.2 Physical Properties of Gases, Liquids and Solids |
原始文献类型 | Article in Press |
来源库 | IEEE |
引用统计 | 正在获取...
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文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/206327 |
专题 | 生物医学工程学院 信息科学与技术学院_PI研究组_张玉瑶组 |
作者单位 | 1.School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China 2.Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA 3.F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA 4.School of Psychology, Shanghai University of Sport, Shanghai, China 5.School of Information and Science and Technology, ShanghaiTech University, Shanghai, China 6.Department of Electrical Engineering and Computer Sciences and the Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA |
推荐引用方式 GB/T 7714 | Yuting Shi,Steven Cao,Xu Li,et al. Regularized Asymmetric Susceptibility Tensor Imaging in the Human Brain in vivo[J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,2022,26(9):1-11. |
APA | Yuting Shi.,Steven Cao.,Xu Li.,Ruimin Feng.,Jie Zhuang.,...&Hongjiang Wei.(2022).Regularized Asymmetric Susceptibility Tensor Imaging in the Human Brain in vivo.IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,26(9),1-11. |
MLA | Yuting Shi,et al."Regularized Asymmetric Susceptibility Tensor Imaging in the Human Brain in vivo".IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 26.9(2022):1-11. |
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