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Abstract #3208

MR ARTS-GROWL: A Non-Iterative Motion-Resistant Technique for High Spatiotemporal Liver DCE Imaging

Zhifeng Chen1, Liyi Kang1, Zhongbiao Xu2, Chenguang Zhao3, Feng Huang4, Feng Liu5, and Ling Xia1,6

1Department of Biomedical Engineering, Zhejiang University, Hangzhou, People's Republic of China, 2School of Biomedical Engineering, Guangdong Provincial Key Laborary of Medical Image Processing, Southern Medical University, Guangzhou, People's Republic of China, 3Philips Healthcare (Suzhou) Co. Ltd., Suzhou, People's Republic of China, 4Neusoft Medical, Shanghai, China, 5School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia, 6State Key Lab of CAD&CG, Zhejiang University, Hangzhou, People's Republic of China

Motion, mainly caused by respiration, is an unavoidable problem in abdomen MR imaging, which often leads to image blurring and edge ghosting. We propose to combine motion-sorted information with dynamic artificial 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 can be generated compared to non-motion-resistant scheme incorporated method.

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