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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 Park2,3, 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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