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Abstract #3501

Fast Quantitative Susceptibility Mapping with Temporal Feature Augmented and Spatiotemporal Sampling Pattern Optimized Network

Jinwei Zhang1, Hang Zhang1, Pascal Spincemaille2, Chao Li1, Thanh Nguyen2, Mert Sabuncu1, and Yi Wang2
1Cornell University, New York, NY, United States, 2Weill Cornell Medicine, New York, NY, United States


A multi-echo sampling pattern optimization and temporal fusion network for MRI reconstruction is proposed to accelerate data acquisition for quantitative susceptibility mapping (QSM). Experiments show that both features help improve multi-echo image reconstruction. The proposed method was applied to a prospectively under-sampled mGRE acquisition demonstrating better image quality over all comparison methods.

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