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Abstract #1173

Accelerated Aortic Flow Assessment with Compressed Sensing Using Sparsity of the Complex Difference Image as an Additional Constraint

MAGNA25Yongjun Kwak1, 2, Seunghoon Nam1, 2, Mehmet Akcakaya1, Tamer A. Basha1, Beth Goddu1, Warren J. Manning1, Vahid Tarokh2, Reza Nezafat1

1Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States; 2SEAS, Harvard University, Cambridge, MA, United States

One of the major limitations of phase contrast imaging is its long scan time. In this study, we propose an accelerated phase contrast MR approach in which the sparsity of the complex difference (CD) image is used as the sparsifying transform to improve the compressed sensing (CS) reconstruction. The efficacy of the proposed method was demonstrated in both retrospective undersampling and prospective accelerated flow imaging in ascending aorta.

Keywords

accelerated acceleration accuracy accurate acquisition acquisitions additional agreements allows aorta aortic around arrow artery ascending assess assessment axial back balancing beth better bifurcation bipolar bland blood blurring calculating calculation cardiac challenging coefficients comparatively complex compressed constraint contrast cycle dataset deaconess delineation disadvantages drawing efficacy encoded encoding encodings error estimation evaluate every experiment facilitate fidelity flow fold full fully function funding generates gradients healthy improve initially inter intermediate introduce iteration iterative iteratively king limitations long major makes males manning medical medicine needed objective partial pass patients perimeter physiological potential presumably proposed prospective prospectively pulmonary pulse quantification reconstructed reconstruction reduce regularization relevant repeatability repeated rescan resolution retrospective retrospectively sampled school seas sensing sets slice space sparsity studied studies subject subjects subsequently summarizes synthesized table tamer temporal term thresholding transform twice typical upper variability variation vessels volume volumes warren years