Abstract #2630

8-fold Accelerated TSE MRI: First Clinical Results of an End-to-End DL Reconstruction Method for Combined SMS and Parallel Imaging Acceleration

Yannik Leonhardt^1,2, Jan Vosshenrich³, Mahmoud Mostapha⁴, Gregor Koerzdoerfer⁵, Esther Raithel⁶, Mariappan Nadar⁴, Mary Bruno¹, and Jan Fritz¹

¹Department of Radiology, Grossman School of Medicine, New York University, New York, NY, United States, ²Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany, ³Department of Radiology, University Hospital Basel, Basel, Switzerland, ⁴Siemens Healthineers, Princeton, NJ, United States, ⁵MR R&D Collaborations, Siemens Medical Solutions USA, Malvern, PA, United States, ⁶Siemens Healthineers AG, Erlangen, Germany

Synopsis

Keywords: AI/ML Image Reconstruction, AI/ML Image Reconstruction

Motivation: Current clinically available DL image reconstruction techniques can reconstruct 6-fold accelerated knee MRI with excellent image quality. However, higher acceleration factors reduced image quality, requiring novel image reconstruction approaches.

Goal(s): To evaluate a novel end-to-end DL image reconstruction method for 8-fold combined simultaneous multislice (SMS) and parallel imaging (PI) acceleration of TSE MRI.

Approach: Twenty 8-fold accelerated knee MRI studies were acquired and reconstructed using a novel end-to-end DL-based reconstruction network that jointly handles SMS and Pl acceleration.

Results: Image quality and detection rates of abnormalities were comparable to the clinical standard with lower acceleration factors.

Impact: First clinical results for 8-fold accelerated knee MRI using a dedicated end-to-end DL reconstruction approach for combined SMS and PI acceleration demonstrate image quality comparable to slower standard-of-care MRI, holding promise for significantly faster clinical TSE MRI in the future.

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