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Abstract #3853

Categorization of Various Methods for Quantititative Susceptibility Mapping (QSM) and Their Noise Properties

Shuai Wang1, Tian Liu2, Weiwei Chen3, Cynthia Wisnieff2, Pascal Spincemaille2, Apostolos John Tsiouris2, Yi Wang2

1School of Electronic and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; 2Department of Radiology, Weill Cornell Medical College, New York, United States; 3Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China

To help understand various QSM methods, we propose the following categorization: Non-Bayesian approach with alteration of the dipole kernel or approximation of the dipole kernel to overcome ill condition, and Bayesian approach using a general mathematical prior or a specific physical structure prior. We also examine the noise modeling error in QSM methods.