SummaryThe project aims to develop a vendor and scanner agnostic model based deep learning algorithm for MR scan time reduction by converting low spatial resolution scan to high spatial resolution scan by super resolution and thereby decreasing the number of phase-encoding steps and reducing scan-time. The algorithm will be vendor agnostic and aim to reduce scan-time by 50-75 %. 

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InstitutionsUniversitätsklinikum Bonn, University Hospital Bonn, DKFZ Heidelberg, DKFZ Heidelberg - Division for Medical Image Computing