8-fold Accelerated TSE MRI: First Clinical Results of an End-to-End DL Reconstruction Method for Combined SMS and Parallel Imaging Acceleration
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.
Authors
- Jan Fritz (ORCID: https://orcid.org/0000-0003-4456-3043)
- Jan Vosshenrich (ORCID: https://orcid.org/0000-0003-3323-8472)
- Mary T. Bruno (ORCID: https://orcid.org/0000-0003-1625-0293)
- Gregor Koerzdoerfer (ORCID: https://orcid.org/0000-0002-8881-9517)
- Mahmoud Mostapha (ORCID: https://orcid.org/0000-0001-6019-1492)
- Yannik Leonhardt (ORCID: https://orcid.org/0000-0003-0028-6654)
- Esther Raithel (ORCID: https://orcid.org/0000-0001-7878-4974)
- Mariappan S. Nadar
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/2630
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00