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Abstract #3185

Automatic Artifact Detection and Image Quality Assessment for Quantitative Susceptibility Mapping

Chun-Kun Wang 1 , Po-Yu Lin 2 , Tzu-Cheng Chao 1,2 , and Ming-Long Wu 1,2

1 Institute of Medical Informatics, National Cheng Kung University, Tainan, Taiwan, 2 Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan

Quantitative susceptibility mapping has been a useful tool to monitoring magnetic properties of the tissues. However streaking artifacts of most QSM reconstruction hampers the interpretation of the susceptibility maps. While several reconstruction algorithms were proposed to alleviate the artifact, an object quantification of artifact is also important. The presented work aims at developing an automatic detection of the residual streaking artifact to facilitate an objective assessment of quality of QSM reconstructions.

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