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Abstract #0025

Online FIRE Reconstruction of Cardiac MRF T1, T2 and ECV maps with Neural Network Dictionary Generation and Low-Rank Subspace Reconstruction

Alexander Fyrdahl1, Nicole Seiberlich1, and Jesse Hamilton1
1Radiology, University of Michigan, Ann Arbor, MI, United States


The ability to reconstruct research images online may facilitate clinical translation and dissemination of new methods. Online implementations of cardiac MRF have been described previously, although they required long reconstruction times due to the need to perform online Bloch equation simulations. In this work, an efficient online 2D cardiac MRF reconstruction pipeline is introduced, capable of displaying myocardial tissue property maps in less than a minute.

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