Controlling sharpness, <scp>SNR,</scp> and <scp>specific absorption rate</scp> for <scp>3D fast‐spin echo</scp> at <scp>7T</scp> by end‐to‐end learning
This study demonstrates the potential of end-to-end learning frameworks to optimize VFA schemes in very long echo trains for 3D FSE acquisition at 7T in terms of PSF and SNR. It paves the way for fast and flexible adjustment of the trade-off between PSF and SNR for 3D FSE.
Authors
- Patrick Alexander Liebig (ORCID: https://orcid.org/0000-0001-7342-3715)
- Simon Weinmüller (ORCID: https://orcid.org/0009-0002-1163-0772)
- Shaihan Malik (ORCID: https://orcid.org/0000-0001-8925-9032)
- Peter Dawood (ORCID: https://orcid.org/0000-0001-7127-607X)
- Moritz Zaiß (ORCID: https://orcid.org/0000-0001-9780-3616)
- Jürgen Herrler (ORCID: https://orcid.org/0000-0002-4620-8216)
- Peter M. Jakob (ORCID: https://orcid.org/0000-0002-3481-5545)
- Martin Blaimer (ORCID: https://orcid.org/0000-0002-6360-9871)
Institutions
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- King's College London (GB)
- University of Würzburg (DE)
- Universitätsklinikum Erlangen (DE)
- King's College School (GB)
- Fraunhofer Institute for Integrated Circuits (DE)
- Siemens Healthineers (Germany) (DE)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1002/mrm.30533
- Citations
- 3
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 4.08