Abstract #4223

An Improved Tissue-Fraction MRF (TF-MRF) with Additional Fraction Regularization

Xiaozhi Cao¹, Congyu Liao¹, Zhixing Wang¹, Huihui Ye¹, Ying Chen¹, Hongjian He¹, Song Chen¹, Hui Liu², and Jianhui Zhong¹

¹Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou,Zhejiang, China, People's Republic of, ²MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China, People's Republic of

MR fingerprinting has been used for estimating the intra-voxel tissue component fractions by resolving the equation S_voxel=Dw. In this study, potential fractions of interested components are used for building dictionary instead of T1 and T2, changing the solution of S_voxel =Dw into an optimization problem with regularization terms. The results demonstrate that the proposed method could provide more robust quantification of tissue composition and estimation of partial volume effects.

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