Comparison of modelled diffusion-derived electrical conductivities found using magnetic resonance imaging
Our findings highlight substantial discrepancies in tissue conductivity estimates generated by different diffusion models, underscoring the challenge of selecting an appropriate model for low-frequency electrical conductivity imaging. SMT demonstrated better alignment with experimental results. However other microstructure models may produce better tissue discrimination.
Authors
- Scott C. Beeman (ORCID: https://orcid.org/0000-0001-6721-1185)
- Rosalind Sadleir (ORCID: https://orcid.org/0000-0001-9789-2129)
- Leland Hu (ORCID: https://orcid.org/0000-0001-9282-7619)
- Sasha Hakhu (ORCID: https://orcid.org/0009-0007-0019-6284)
Institutions
- Mayo Clinic Hospital (US)
- Arizona State University (US)
Publication Details
- Journal
- Frontiers in Radiology
- Published
- 2025-01-22
- DOI
- https://doi.org/10.3389/fradi.2025.1492479
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00