Abstract #0422

Noise sensitivity study of model-free rPCA in Myelin Water Fraction Mapping using multi-echo GRE

Jae Eun Song¹, Jaewook Shin¹, Hongpyo Lee¹, Won-Jin Moon², Mina Park^2,3, and Dong-Hyun Kim¹

¹Department of Electrical and Electronic Engineering, Yonsei University, seoul, Korea, Republic of, ²Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, seoul, Korea, Republic of, ³Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, seoul, Korea, Republic of

Recently, a robust principle component analysis (rPCA) method was implemented to myelin water fraction (MWF) mapping using mGRE data. Based on the intrinsic nature of T2* relaxation, hankelization and non-negative matrix factorization was implemented to enhance low rankness of each rank-1 component. In this study, the noise sensitivity of model-free rPCA was investigated. According to simulation and in vivo analysis, model-free rPCA technique is more robust at noise and other physiological artifacts than model-based fitting technique.

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