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Abstract #3809

CNNs improve tissue sodium concentration accuracy in white and grey matter from stroke patients at 3T 23Na MRI

Anne Adlung1, Nadia K. Paschke1, Alena-Kathrin Schnurr1, Sherif Mohamed2, Victor Saase2, Melina Samartzi3, Marc Fatar3, Eva Neumaier-Probst2, and Lothar R. Schad1
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Department of Neuroradiology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 3Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

This study investigates the possibility to reduce 23Na MRI measurement time for stroke patients by applying CNNs and evaluates the resulting TSC accuracy in GM and WM. Three different CNN architectures were implemented and compared. The CNNs’ performance was evaluated by calculating the TSC quantification error and with a qualitative evaluation from neuroradiologists. The implementation of TSC quantification into the clinical routine might be greately facilitated by an acceleration factor of 4 for the 23Na MRI acquisition time while keeping its TSC accuracy in WM and GM.

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