Abstract #1320

Multi-channel CAscaded Multi-scale WAvelet with iterative REfinement (CAMWARE) network for accelerated whole-brain vessel wall imaging

Junzhou Chen¹, Zhehao Hu¹, Dan Ruan², Fei Han³, xiaoming Bi³, Alexander Lerner¹, Roy Poblete¹, and Zhaoyang Fan¹

¹University of Southern California, Los Angeles, CA, United States, ²University of California, Los Angeles, Los Angeles, CA, United States, ³Siemens Medical Solutions, Los Angeles, CA, United States

Synopsis

Keywords: Vessel Wall, Atherosclerosis3D MR vessel wall imaging (VWI) is a non-invasive imaging modality for directly assessing intracranial arterial wall diseases. A typical intracranial VWI protocol requires 6-12 minutes per scan to obtain adequate spatial coverage and resolution. Such a long scan time hinders widespread use of VWI in clinical settings. We have developed a multi-channel application-ready intracranial vessel-dedicated CAscaded Multi-level WAvelet REfine (CAMWARE) network that enables a VWI scan within 4 minutes. The proposed network achieved significant improvement in vessel wall delination over conventional compressed sensing reconstruction.

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