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Abstract #5179

Intracranial artery vessel wall reconstruction via feature refinement

Jing Cheng1, Sen Jia1, Lei Zhang1, Yanjie Zhu1, Yuanyuan Liu1, Leslie Ying2, Xin Liu1, Hairong Zheng1, and Dong Liang1

1Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences, Shenzhen, People's Republic of China, 2Department of Electrical Engineering, The State University of New York (SUNY) at Buffalo, NY, United States

Depicting the vessel wall of intracranial arteries at high resolution and contrast is important to evaluate the intracranial artery disease. This paper propose a feature refinement strategy for improving the reconstruction quality of intracranial artery vessel wall by incorporating the feature descriptor into the reconstruction framework of L1-SPIRiT. Results on in vivo MR data have shown that the feature refinement method is capable of reconstructing the vessel wall with higher contrast than the method without feature refinement, and thus presents great potential for MR vessel wall imaging.

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