Value of Deep Learning-Accelerated T1-w Dixon MRI for Upper Abdominal Imaging
Motivation: MRI is crucial for abdominal imaging due to its soft tissue contrast, but conventional sequences are limited by scan time and resolution. Deep-Learning-(DL)-based reconstruction may improve image quality and speed. Goal(s): Does a DL-accelerated T1-weighted sequence (T1DL) enhance image quality and acquisition time for liver, spleen, and pancreas imaging? Approach: This single-center study of 98 patients undergoing post-contrast 3T MRI with standard and T1DL sequences, with qualitative and independent quantitative image assessments. Results: T1DL shortened the examination time from 17s to 13s and enhanced image quality. Impact: DL-accelerated MRI optimizes scan time and image quality, especially benefiting patients with breath-holding difficulties.
Authors
- Lutz M. Kolbe (ORCID: https://orcid.org/0000-0003-4852-0040)
- Niklas Verloh (ORCID: https://orcid.org/0000-0002-8424-5827)
- Fabian Bamberg (ORCID: https://orcid.org/0000-0002-7460-3942)
- Caroline Wilpert (ORCID: https://orcid.org/0000-0003-2375-2478)
- Dominik M. Nickel (ORCID: https://orcid.org/0000-0002-0360-7233)
- Ralph Strecker (ORCID: https://orcid.org/0000-0002-8232-8952)
- Alexander Rau (ORCID: https://orcid.org/0000-0001-5881-6043)
- Hannes Engel (ORCID: https://orcid.org/0000-0003-1985-325X)
- Tobias Scheef
- Johannes Beat Fingerhut
- Jakob Weiss (ORCID: https://orcid.org/0000-0002-0336-8519)
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/10.58530/2025/0104
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00