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
Institute of Medical Informatics, National
Cheng Kung University, Tainan, Taiwan,
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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