title: Structure Prior Effects in Bayesian Approaches of Quantitative Susceptibility Mapping.
abstract: Quantitative susceptibility mapping (QSM) has shown its potential for anatomical and functional MRI, as it can quantify, forin vivotissues, magnetic biomarkers and contrast agents which have differential susceptibilities to the surroundings substances. For reconstructing the QSM with a single orientation, various methods have been proposed to identify a unique solution for the susceptibility map. Bayesian QSM approach is the major type which uses various regularization terms, such as a piece-wise constant, a smooth, a sparse, or a morphological prior. Six QSM algorithms with or without structure prior are systematically discussed to address the structure prior effects. The methods are evaluated using simulations, phantom experiments with the given susceptibility, and human brain data. The accuracy and image quality of QSM were increased when using structure prior in the simulation and phantom compared to same regularization term without it, respectively. The image quality of QSM method using the structure prior is better comparing, respectively, to the method without it by either sharpening the image or reducing streaking artifactsin vivo. The structure priors improve the performance of the various QSMs using regularized minimization including L1, L2, and TV norm.
authors.affiliation: School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Center for Robotics, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
authors.forename: Shuai
authors.identifier: 0000-0002-7897-2024
authors.initials: S
authors.lastname: Wang
authors.affiliation: Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
authors.forename: Weiwei
authors.initials: W
authors.lastname: Chen
authors.affiliation: School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, Hubei, China.
authors.forename: Chunmei
authors.initials: C
authors.lastname: Wang
authors.affiliation: Medimagemetric LLC, New York, NY, USA.
authors.forename: Tian
authors.initials: T
authors.lastname: Liu
authors.affiliation: Department of Biomedical Engineering, Cornell University, Ithaca, NY, USA; Department of Radiology, Weill Cornell Medical College, Cornell University, New York, NY, USA.
authors.forename: Yi
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
authors.forename: Chu
authors.initials: C
authors.lastname: Pan
authors.affiliation: Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
authors.forename: Ketao
authors.initials: K
authors.lastname: Mu
authors.affiliation: School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Center for Robotics, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
authors.forename: Ce
authors.initials: C
authors.lastname: Zhu
authors.affiliation: School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Center for Robotics, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
authors.forename: Xiang
authors.initials: X
authors.lastname: Zhang
authors.affiliation: School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Center for Robotics, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
authors.forename: Jian
authors.initials: J
authors.lastname: Cheng
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D003198:Computer Simulation; D006801:Humans; D007089:Image Enhancement; D007090:Image Interpretation, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008962:Models, Theoretical; D019047:Phantoms, Imaging