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Abstract #2844

A High Performance Computing Cluster Implementation Of Compressed Sensing Reconstruction For MR Histology

Robert James Anderson1, Nian Wang1, James J Cook1, Gary P Cofer1, Russell Dibb1,2, G. Allan Johnson1, and Alexandra Badea1

1Center for In Vivo Microscopy, Department of Radiology, Duke University, Durham, NC, United States, 2GE Healthcare, Salt Lake City, UT, United States

We report the generation of a software pipeline for accelerated MR image reconstruction in a high-performance computing environment, motivated by the shift in time demands from the acquisition to the computational burden of reconstruction in compressed sensing.

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