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Abstract #5628

3D multi-parameter mapping of the breast with Dixon fat-water separation

Ken-Pin Hwang1, Jong Bum Son1, Suchandrima Banerjee2, Tao Zhang3, Jingfei Ma1, Gaiane Margishvili Rauch4, and Marcel Warntjes5

1Department of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States, 2MR Applications and Workflow, GE Healthcare, Menlo Park, CA, United States, 3MR Applications and Workflow, GE Healthcare, Waukesha, WI, United States, 4Department of Radiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States, 5SyntheticMR, Linkoping, Sweden

3D QALAS is a promising new technique that simultaneously maps T1, T2, and PD in a single 3D acquisition. However, the presence of fat can confound multi-parameter mapping of voxels with mixed species. We modified the sequence to acquire dualecho readouts and apply a joint field map estimation across all echoes to produce water-only images for multi-parameter fitting. The technique was applied in the breast and parameter maps were compared with those generated from a 2D unsuppressed acquisition. By eliminating partial volume effects of fat, the technique potentially extends the use of 3D multi-parameter mapping into body, breast, and spine.

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