Tissue water referencing for 7T MRSI: Integrating proton density maps into quantitative metabolic mapping
Motivation: In magnetic resonance spectroscopic imaging, generating concentration estimates is desirable. So far, our approach has been limited by the need for WM/GM separation and literature values, limiting it to healthy subjects. To solve this, it can be replaced by PD map-based references. Goal(s): To test an approach of calculating concentration estimates within volunteers without relying on literature assumptions for reference. Approach: Use quantitative proton density maps to calculate water concentration maps for metabolic imaging at 7T. Results: We successfully used ME-GRE imaging to calculate water concentration maps. In healthy volunteers, these maps correspond well to the previous method. Impact: Using tissue water maps for MRSI concentration estimation allows to not only apply the method to healthy brains, but also to pathologies like gliomas. This will make 7T MRSI a better tool for studies.
Authors
- Siegfried Trattnig (ORCID: https://orcid.org/0000-0003-1623-3303)
- Wolfgang Bogner (ORCID: https://orcid.org/0000-0002-0130-3463)
- Lukas Hingerl (ORCID: https://orcid.org/0000-0003-1808-8349)
- Gilbert Hangel (ORCID: https://orcid.org/0000-0002-3986-3159)
- Bernhard Strasser (ORCID: https://orcid.org/0000-0001-9542-3855)
- Martina F. Callaghan (ORCID: https://orcid.org/0000-0003-0374-1659)
- Barbara Dymerska (ORCID: https://orcid.org/0000-0001-6339-2169)
- Philipp Lazen (ORCID: https://orcid.org/0000-0002-9952-3084)
- Ahmet Azgın
- Karl Rössler (ORCID: https://orcid.org/0000-0002-9249-8082)
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/10.58530/2024/4700
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00