Abstract #2740

Accelerated DWI with deep learning reconstruction in 3T breast MRI: initial clinical experiences and image quality

Caroline Wilpert¹, Hannah Schneider¹, Claudia Neubauer¹, Thomas Benkert², Elisabeth Weiland², Ralph Strecker³, Marco Reisert⁴, Jakob Weiß¹, Matthias Benndorf¹, Fabian Bamberg¹, Marisa Windfuhr-Blum¹, and Jakob Neubauer¹

¹Departement of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany, ²MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, ³EMEA Scientific Partnerships, Siemens Healthcare GmbH, Erlangen, Germany, ⁴MR Physics, University Hospital Freiburg, Freiburg im Breisgau, Germany

Synopsis

Keywords: Breast, Diffusion/other diffusion imaging techniquesThis prospective study evaluated image quality features of a novel accelerated DWI with deep learning image reconstruction in 3T breast MRI in a clinical setting in direct comparison to conventional DWI. Deep learning DWI (DL-DWI) shows a drastically shortened acquisition time of 46% compared to standard DWI, while maintaining a high image quality. Even though some image quality features were rated superior in standard DWI, image quality remained good for DL-DWI and lesion conspicuity scores were rated superior for DL-DWI compared to conventional breast DWI. Therefore, DL-DWI seems a feasible technique for accelerated breast DWI.

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