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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