Enhancing myocardial scar detection by combining fat-water separation with bright- and black-blood late gadolinium enhancement imaging
Motivation: Combined bright- and black-blood late gadolinium enhancement has shown potential for scar detection.However, accurate differentiation between scar and fat tissue in these images can pose a challenge. Goal(s): To assess the SPOT-Dixon sequence, a joint bright- and black- blood methodology in combination with a two-point Dixon approach to improve myocardial scar detection and delineation. Approach: The proposed sequence was tested in 13 patients with suspected cardiovascular diseases and the results were compared to those from reference sequences. Results: The SPOT-Dixon sequence was able to reliably delineate scar tissue within the myocardium and differentiate it from fat in its proximity. Impact: The proposed sequence combining the SPOT sequence and a two-point Dixon method gives reliable images of the myocardial scar and the fat tissue surrounding it, providing a valuable diagnostic advantage and potentially improving the accuracy of cardiovascular assessments.
Authors
- Matthias Stuber (ORCID: https://orcid.org/0000-0001-9843-2028)
- Soumaya Sridi (ORCID: https://orcid.org/0000-0002-0307-1758)
- Hubert Cochet (ORCID: https://orcid.org/0000-0001-7772-5331)
- Manuel Villegas‐Martinez (ORCID: https://orcid.org/0000-0002-4766-8759)
- Aurélien Bustin (ORCID: https://orcid.org/0000-0002-2845-8617)
- Gaël Dournes (ORCID: https://orcid.org/0000-0002-0251-6639)
- Victor de Villedon de Naide (ORCID: https://orcid.org/0009-0004-2453-3060)
- Kalvin Narceau
- Claire Bazin
- Jean‐David Maes
- Victor Nogues
- Ilyes Ben Lala
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/10.58530/2024/0621
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00