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Abstract #1967

Enhancing Quantitative Susceptibility Mapping by Using Gradient L2 Regularization with Morphological Priors

Yihao Guo1, Li Guo1, Yingjie Mei1,2, and Yanqiu Feng1

1Guangdong Provincial Key Laboratory of Medical Image Processing,School of Biomedical Engineering,Southern Medical University, Guangzhou, People's Republic of China, 2Philips Healthcare, Guangzhou, China.

TKD, LSQR and CSC methods have been proposed to reconstruct QSM from field map. However, these three methods result in inconsistent in the magic angle and can be further improved. This work introduces efficient gradient L2 regularization with morphological information from magnitude images for enhancing the QSM reconstructed by TKD, LSQR and CSC methods.

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