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Abstract #3640

Deep Residual Grappa (DeepGrappa): A General Purpose Self-calibrated AI based MR Reconstruction

Hui Xue1, James C Moon2, and Peter Kellman1
1NHLBI, NIH, Bethesda, MD, United States, 2Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom

In this abstract, we proposed a novel self-calibration AI based MR reconstruction algorithm to utilize the power of a deep neural network. Unlike most deep learning MR reconstruction, this algorithm does not require extra training data and only works on the auto-calibration kspace lines. This algorithm is integrated to run on MR scanner via the Gadgetron InlineAI toolbox. We demonstrated this algorithm on cardiac cine imaging, showing improved image quality without introduced unrealistic anatomical structures.

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