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Abstract #2870

Real-time cardiac MRI using spiral read-outs and a Variational Network for data-driven reconstruction

Jonas Kleineisel1, Philipp Eirich1,2, Julius F. Heidenreich1, Herbert Köstler1, Thorsten A. Bley1, and Tobias Wech1
1Department of Diagnostic and Interventional Radiology, University of Würzburg, Würzburg, Germany, 2Comprehensive Heart Failure Center Würzburg, Würzburg, Germany

Spiral sampling patterns are well suited for fast MR applications like cardiac imaging, yet additional undersampling is necessary to achieve real-time temporal resolution. To still transform these data into images of high quality, a Variational Network is presented. The proposed model uses U-Nets for regularizing a gradient descent scheme, to reconstruct dynamic image series comparable to a segmented fully sampled cine investigation. The acquisition time for an entire stack from base to apex was below one minute; the overall reconstruction time was about 6 minutes.

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