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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