MR ARTS-GROWL: a non-iterative motion-resistant technique for high spatiotemporal liver DCE imaging

Zhifeng Chen, Liyi Kang, Zhongbiao Xu, Chenguang Zhao, Feng Huang, Feng Liu, Ling Xia

Research output: Contribution to conferenceAbstractpeer-review


Motion, mainly caused by respiration, is an unavoidable problem in abdomen MR imaging, which often leads to image blurring and edgeghosting. We propose to combine motion-sorted information with dynamic artifi cial sparsity approach for radial dynamic contrast-enhanced(DCE) MR imaging. The results demonstrate that better image quality including SNR and low image bluring and more diagnostic information canbe generated compared to non-motion-resistant scheme incorporated method.
Original languageEnglish
Number of pages2
Publication statusPublished - 2017
Externally publishedYes
EventAnnual Meeting of ISMRM 2017 - Honolulu, United States of America
Duration: 22 Apr 201727 Apr 2017
Conference number: 25th


ConferenceAnnual Meeting of ISMRM 2017
Country/TerritoryUnited States of America
Internet address

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