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Abstract #1172

Multi-Scale Low-Rank Reconstruction for Phase-Cycled Projection-Reconstruction bSSFP Cardiac Cine and BMART-Generated B0 Maps

Anjali Datta1, Dwight Nishimura1, and Corey Baron2
1Electrical Engineering, Stanford, Stanford, CA, United States, 2Medical Biophysics, Western University, London, ON, Canada

For banding-free bSSFP cardiac cine, a highly-accelerated projection-reconstruction sequence acquires three phase-cycles within a short breathhold. Data is also acquired on the rewinds, enabling generation of B0 maps using BMART, which are used for phase-cycle combination. We show that this data is well-captured by a multi-scale low-rank (MSLR) model, which recovers the normal and rewind images from the aggressively-undersampled data with less streaking and blurring than total-variation-regularized ESPIRiT. In addition to improving the phase-cycle component images, MSLR facilitates generation of temporally-resolved B0 maps with good SNR. Together, these two improvements result in the final, field-map-combined cine images having high quality.

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