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Abstract #3793

An application of compressed sensing for improved temporal fidelity in DCE breast MRI

Courtney K Morrison 1 , Roberta M Strigel 1,2 , Kang Wang 3 , James H Holmes 3 , Alexey Samsonov 2 , Frank R Korosec 1,2 , and Julia Velikina 1

1 Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2 Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3 Global MR Applications and Workflow, GE Healthcare, Madison, WI, United States

Breast DCE-MRI with undersampled k-space segmentation schemes and reconstructed using view-sharing allows for improved temporal resolution while maintaining high spatial resolution. However, view sharing introduces a temporal footprint longer than the frame rate. This work demonstrates the feasibility of reconstructing undersampled breast DCE-MRI data with a novel compressed sensing technique. This technique preserves image quality while reducing the temporal footprint to a single phase.

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