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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