Non-Cartesian Compressed Sensing with Fat/Water Decomposition: Feasibility Study for High Performance Breast DCE-MRI
Jorge E Jimenez 1 , Leah C Henze Bancroft 1 , Roberta M Strigel 1,2 , Kevin M Johnson 1 , Scott B Reeder 2,3 , and Walter F Block 1,3
Department of Medical Physics, University of
Wisconsin-Madison, Madison, WI, United States,
of Radiology, University of Wisconsin School of Medicine
and Public health, Madison, WI, United States,
of Biomedical Engineering, University of
Wisconsin-Madison, Madison, WI, United States
Successful MR methods must combine capabilities for
rapid acquisition, reliable fat suppression, and
significant data undersampling. We present our
experience in making three MR technologies mutually
compatible: IDEAL signal decomposition, L1-based
compressed sensing (CS) reconstruction, and a 3D radial
trajectory; Vastly undersampled Isotropic Projection (VIPR).
We successfully demonstrate incorporation of IDEAL and
CS to 3D T1-Weighted VIPR breast MRI capable of
providing high isotropic resolution. The addition of CS
markedly improved image quality and SNR. Further study
is necessary to determine the lower limit of the
temporal footprint the method will support.
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