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A method for estimating and removing streaking artifacts in quantitative susceptibility mapping

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单位: [1]Duke Univ, Brain Imaging & Anal Ctr, Durham, NC 27705 USA [2]Univ Texas Hlth Sci Ctr San Antonio, Res Imaging Inst, San Antonio, TX 78229 USA [3]Univ Texas Hlth Sci Ctr San Antonio, Dept Ophthalmol, San Antonio, TX 78229 USA [4]Univ Texas Hlth Sci Ctr San Antonio, Dept Radiol, San Antonio, TX 78229 USA [5]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Wuhan 430030, Hubei, Peoples R China [6]Univ Texas Hlth Sci Ctr San Antonio, Dept Neurol, San Antonio, TX 78229 USA [7]Duke Univ, Sch Med, Dept Radiol, Durham, NC 27705 USA
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关键词: Quantitative susceptibility mapping Streaking artifact removal Multiple sclerosis High resolution brain imaging

摘要:
Quantitative susceptibility mapping (QSM) is a novel MRI method for quantifying tissue magnetic property. In the brain, it reflects the molecular composition and microstructure of the local tissue. However, susceptibility maps reconstructed from single-orientation data still suffer from streaking artifacts which obscure structural details and small lesions. We propose and have developed a general method for estimating streaking artifacts and subtracting them from susceptibility maps. Specifically, this method uses a sparse linear equation and least-squares (LSQR)-algorithm-based method to derive an initial estimation of magnetic susceptibility, a fast quantitative susceptibility mapping method to estimate the susceptibility boundaries, and an iterative approach to estimate the susceptibility artifact fromill-conditioned k-space regions only. With a fixed set of parameters for the initial susceptibility estimation and subsequent streaking artifact estimation and removal, the method provides an unbiased estimate of tissue susceptibility with negligible streaking artifacts, as compared to multi-orientation QSM reconstruction. This method allows for improved delineation of white matter lesions in patients with multiple sclerosis and small structures of the human brain with excellent anatomical details. The proposed methodology can be extended to other existing QSM algorithms. (C) 2014 Published by Elsevier Inc.

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出版当年[2014]版:
大类 | 2 区 医学
小类 | 1 区 核医学 2 区 神经成像 2 区 神经科学
最新[2025]版:
大类 | 2 区 医学
小类 | 1 区 神经成像 2 区 神经科学 2 区 核医学
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出版当年[2013]版:
Q1 NEUROSCIENCES Q1 NEUROIMAGING Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q1 NEUROIMAGING Q1 NEUROSCIENCES Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2013版] 出版当年五年平均 出版前一年[2012版] 出版后一年[2014版]

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第一作者单位: [1]Duke Univ, Brain Imaging & Anal Ctr, Durham, NC 27705 USA [2]Univ Texas Hlth Sci Ctr San Antonio, Res Imaging Inst, San Antonio, TX 78229 USA [3]Univ Texas Hlth Sci Ctr San Antonio, Dept Ophthalmol, San Antonio, TX 78229 USA [*1]Univ Texas Hlth Sci Ctr San Antonio, Res Imaging Inst, 8403 Floyd Curl Dr, San Antonio, TX 78229 USA
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通讯机构: [1]Duke Univ, Brain Imaging & Anal Ctr, Durham, NC 27705 USA [2]Univ Texas Hlth Sci Ctr San Antonio, Res Imaging Inst, San Antonio, TX 78229 USA [3]Univ Texas Hlth Sci Ctr San Antonio, Dept Ophthalmol, San Antonio, TX 78229 USA [*1]Univ Texas Hlth Sci Ctr San Antonio, Res Imaging Inst, 8403 Floyd Curl Dr, San Antonio, TX 78229 USA
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