Quantitative multi-parametric mapping of human subcortex at ultrahigh field
Motivation: Many neurodegenerative diseases affect subcortical nuclei early. Quantitative MRI (qMRI) offers a unique non-invasive tool for detection of neurodegeneration at its early stage, paving the way for development of potential therapies. Goal(s): Ultra-high resolution multi-modal cartography of human subcortex capable of detecting subtle longitudinal changes in macro- and microstructure of subcortical nuclei. Approach: We combined high resolution multi-parametric mapping using 7T, pTx and advanced reconstruction with automated segmentation of subcortical structures. Performance was tested across two sites. Results: While qMRI repeatability varied strongly by structure, automated parcellation was highly repeatable, making the protocol a promising candidate for further studies. Impact: We present a method for multi-contrast quantification of subcortical microstructure. Our high-resolution MRI acquisition and analysis protocol aims to enable longitudinal multi-center studies to detect subcortical neurodegeneration at its early stage.
Authors
- Mikhail Zubkov
- Gilles Vandewalle (ORCID: https://orcid.org/0000-0003-2483-2752)
- Nikolaus Weiskopf (ORCID: https://orcid.org/0000-0001-5239-1881)
- Anneke Alkemade (ORCID: https://orcid.org/0000-0002-3234-353X)
- Kerrin Pine (ORCID: https://orcid.org/0000-0002-2486-2970)
- Pierre‐Louis Bazin (ORCID: https://orcid.org/0000-0002-0141-5510)
- Evgeniya Kirilina (ORCID: https://orcid.org/0000-0003-1304-4363)
- Luke Edwards (ORCID: https://orcid.org/0000-0002-8320-7298)
- Gábor Perlaki
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/10.58530/2024/3714
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00