Susceptibility-induced internal gradients reveal axon morphology and cause anisotropic effects in the diffusion-weighted MRI signal
Diffusion-weighted MRI is our most promising method for estimating microscopic tissue morphology in vivo. The signal acquisition is based on scanner-generated external magnetic gradients. However, it will also be affected by susceptibility-induced internal magnetic gradients caused by interactions between the tissue and the static magnetic field of the scanner. With 3D in silico experiments, we show how internal gradients cause morphology-, compartment-, and orientation-dependence of spin-echo and pulsed-gradient spin-echo experiments in myelinated axons. These effects surpass those observed with previous 2D modelling corresponding to straight cylinders. For an ex vivo monkey brain, we observe the orientation-dependence generated only when including non-circular cross-sections in the in silico morphological configurations, and find orientation-dependent deviation of up to 17% for diffusion tensor metrics. Interestingly, we find that the orientation-dependence not only biases the signal across different brain regions, but also carries a sensitivity to the morphology of axonal cross-sections which is not attainable by the idealised theoretical diffusion-weighted MRI signal.
Authors
- Mariam Andersson (ORCID: https://orcid.org/0000-0001-7181-3007)
- Henrik Lundell (ORCID: https://orcid.org/0000-0002-7044-442X)
- Jonathan Rafael‐Patiño (ORCID: https://orcid.org/0000-0002-8960-5465)
- S. Winther (ORCID: https://orcid.org/0000-0001-7077-6275)
- Jean‐Philippe Thiran (ORCID: https://orcid.org/0000-0003-2938-9657)
- Tim B. Dyrby (ORCID: https://orcid.org/0000-0003-3361-9734)
Institutions
- Centre Hospitalier Universitaire Vaudois (CH)
- Copenhagen University Hospital (DK)
- Centre d'Imagerie BioMedicale (CH)
- École Polytechnique Fédérale de Lausanne (CH)
- Technical University of Denmark (DK)
- University of Lausanne (CH)
Publication Details
- Journal
- Scientific Reports
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1038/s41598-024-79043-5
- Citations
- 3
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- European Commission
- HORIZON EUROPE Framework Programme