Accelerated Deep-Learning-Based Image Reconstruction for 3D T2 Dark-Fluid in Imaging of Multiple Sclerosis.

Sebastian Altmann1, Mario A A Mercado, Arwed Elias Michael

  • 1Department of Neuroradiology, University Medical Center Mainz, Johannes Gutenberg University, Langenbeckstr (S.A., M.A.A.M., A.E.M., M.K., V.I.S., M.A.B., A.E.O.); Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center Mainz, Johannes Gutenberg University, Rhabanusstr, Mainz (R.H.P.); Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen (M.D.N.); Department of Neurology, University Medical Center Mainz, Johannes Gutenberg University, Langenbeckstr, Mainz, Germany (V.F.).

Summary

Deep-learning (DL)-accelerated MRI is interchangeable with conventional MRI for detecting new white matter lesions in multiple sclerosis (MS) patients. This advancement significantly cuts scan times by nearly 50%, improving efficiency in MS surveillance.