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Structure Prior Effects in Bayesian Approaches of Quantitative Susceptibility Mapping
Joint Authors
Wang, Shuai
Chen, Weiwei
Wang, Chunmei
Liu, Tian
Wang, Yi
Pan, Chu
Mu, Ketao
Zhu, Ce
Zhang, Xiang
Cheng, Jian
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Quantitative susceptibility mapping (QSM) has shown its potential for anatomical and functional MRI, as it can quantify, for in vivo tissues, 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 artifacts in vivo.
The structure priors improve the performance of the various QSMs using regularized minimization including L1, L2, and TV norm.
American Psychological Association (APA)
Wang, Shuai& Chen, Weiwei& Wang, Chunmei& Liu, Tian& Wang, Yi& Pan, Chu…[et al.]. 2016. Structure Prior Effects in Bayesian Approaches of Quantitative Susceptibility Mapping. BioMed Research International،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1097146
Modern Language Association (MLA)
Wang, Shuai…[et al.]. Structure Prior Effects in Bayesian Approaches of Quantitative Susceptibility Mapping. BioMed Research International No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1097146
American Medical Association (AMA)
Wang, Shuai& Chen, Weiwei& Wang, Chunmei& Liu, Tian& Wang, Yi& Pan, Chu…[et al.]. Structure Prior Effects in Bayesian Approaches of Quantitative Susceptibility Mapping. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1097146
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1097146