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Abstract #2720

Computational fluid dynamics simulations guided by Fourier velocity encoded MRI

Vinicius Rispoli 1 , Jon-Fredrik Nielsen 2 , Krishna Nayak 3 , and Joao Luiz Carvalho 1

1 University of Brasilia, Brasilia, DF, Brazil, 2 University of Michigan, Ann Arbor, MI, United States, 3 University of Southern California, Los Angeles, CA, United States

Fourier velocity encoding (FVE) is a promising MRI method for assessment of cardiovascular blood flow. FVE provides considerably higher SNR than phase contrast (PC) imaging, is robust to partial-volume effects, and can be rapidly acquired using spiral readouts. On the other hand, FVE data do not directly provide velocity maps. CFD driven by PC velocity maps has been previously demonstrated. This work introduces a method for using FVE data (rather than PC data) to guide CFD simulations. We show that FVE-driven CFD achieves better agreement with a PC-measured velocity map than pure CFD solutions.

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