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Hybrid data fidelity term approach for quantitative susceptibility mapping.

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第一作者： Mathias,Lambert

第一单位： Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile.;Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile.;Millennium Institute for Intelligent Healthcare Engineering (iHEALTH), Santiago, Chile.

作者： Mathias,Lambert ^[1] ; Cristian,Tejos ^[1] ; Christian,Langkammer ^[2] ; Carlos,Milovic ^[3]

作者单位： Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile.;Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile.;Millennium Institute for Intelligent Healthcare Engineering (iHEALTH), Santiago, Chile. ^[1] Department of Neurology, Medical University of Graz, Graz, Austria.;BioTechMed Graz, Graz, Austria. ^[2] Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile.;Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile.;Department of Medical Physics and Biomedical Engineering, University College London, London, UK. ^[3]

关键词 Augmented Lagrangian L1-norm L2-norm QSM QSM challenge

医学主题词算法(Algorithms);脑(Brain);脑图(Brain Mapping);图像处理, 计算机辅助(Image Processing, Computer-Assisted);磁共振成像(Magnetic Resonance Imaging)

DOI 10.1002/mrm.29218

PMID 35435267

发布时间 2022-07-31

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