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Abstract #2402

Open-source dynamic MRI workflow for reproducible research

Prakash Kumar1, Bilal Tasdelen1, and Krishna S Nayak1
1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States

Synopsis

Keywords: Software Tools, Data AcquisitionThis work presents an open-source workflow for dynamic MR acquisition and reconstruction. The entire workflow consists of vendor-agnostic tools to allow for immediate sharing of data, pulse sequence, and reconstruction code across sites. This work is an adaptation of Open-Source MR Imaging and Reconstruction Workflow to dynamic imaging (Veldmann et. al, MRM 88(6):2395-2407). Using the FIRE interface, we demonstrate a Gadgetron loader of acquisition metadata including k-space trajectories and present a pipeline to convert pulse sequences developed through HeartVista’s SpinBench into Pulseq for easy sharing of sequences.

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