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Abstract #3319

Quantitative Susceptibility Mapping Using Adaptive Edge-Preserving Filtering

Toru Shirai 1 , Ryota Sato 1 , Yo Taniguchi 1 , Takenori Murase 2 , Yoshitaka Bito 2 , and Hisaaki Ochi 1

1 Central Research Laboratory, Hitachi, Ltd., Kokubunji, Tokyo, Japan, 2 MRI system division, Hitachi Medical Corporation, Chiba, Japan

We propose a novel QSM reconstruction method that reduces the artifacts and generates a high quantitative susceptibility map without the regularization term. The method consists of three steps: (I) iterative least square minimization, (II) adaptive edge-preserving filtering to the susceptibility map in the minimization process, and (III) weighted addition of the susceptibility map in k-space before and after filtering. The results of a 3D numerical phantom simulation and healthy volunteer experiment showed that the method may be useful for reducing streaking artifacts and generating a susceptibility map of which quantitative is maintained.

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