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Abstract #1078

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

1 Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2 Department of Radiology, University of Wisconsin School of Medicine and Public health, Madison, WI, United States, 3 Department 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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