Free-breathing T2 mapping of the abdomen in half the scan time using RADTSE with deep learning reconstruction
Motivation: Free-breathing T2 mapping of the abdomen is possible for subjects that cannot hold their breath, but current techniques require long scan times that are not always possible. Goal(s): To produce high quality T2 weighted images and T2 parameter map from highly accelerated scans of the abdomen. Approach: Combining the radial turbo spin echo sequence, navigator triggering, and new deep learning reconstruction techniques to increase the acceleration of the acquisition while maintaining image quality. Results: Using these techniques, one can produce high quality T2 weighted images and T2 parameter map of the entire abdomen in under 4 minutes. Impact: Deep learning techniques significantly reduce both scan time and reconstruction time for highly accelerated, navigator-triggered free breathing T2 weighted images and T2 parameter map of the abdomen.
Authors
- Ute Goerke (ORCID: https://orcid.org/0000-0003-2232-0024)
- Brian Toner (ORCID: https://orcid.org/0000-0002-3662-4689)
- Diego R. Martín (ORCID: https://orcid.org/0000-0001-8810-0695)
- Kevin M. Johnson (ORCID: https://orcid.org/0000-0002-8660-0853)
- Simon Arberet (ORCID: https://orcid.org/0000-0001-7382-3970)
- Ali Bilgin (ORCID: https://orcid.org/0000-0003-4196-4036)
- Fei Han (ORCID: https://orcid.org/0000-0002-0882-6590)
- María I. Altbach (ORCID: https://orcid.org/0000-0001-9368-2458)
- Eze Ahanonu (ORCID: https://orcid.org/0009-0004-5996-3589)
- Vibhas Deshpande (ORCID: https://orcid.org/0000-0003-0264-6553)
- Shu Zhang (ORCID: https://orcid.org/0009-0005-0368-9397)
- 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
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/0727
- Citations
- 1
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.40