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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