Robust generation of tract-wise myelination measurements from infant T1- and T2-weighted MRI using synth based deep learning methods
Motivation: While T1/T2-weighted ratio maps are important for the study of myelination, existing reconstruction tools can fail in infants and present difficulty to automated segmentation. Goal(s): To provide a pipeline for obtaining accurate regional myelination measures of whole brain regions and white matter tracts. Approach: We adapted existing T1/T2-weighted ratio pipelines to incorporate deep learning methods for segmentation and registration as well as a high-quality tract atlas. Results: Our pipeline showed reduced errors and improved differentiation between 3- and 6-month-old infants from a South African longitudinal birth cohort study. Impact: The improved T1/T2-weighted ratio contrast and detailed segmentations provided by our pipeline will enable study of specific myelination patterns during neurodevelopment, especially in populations exposed to risk factors for altered white matter maturation.
Authors
- Niall Bourke (ORCID: https://orcid.org/0000-0001-6478-1430)
- Michal R. Zieff (ORCID: https://orcid.org/0000-0001-9352-9947)
- Henry F. J. Tregidgo (ORCID: https://orcid.org/0000-0002-3509-8154)
- P. A. Wijeratne (ORCID: https://orcid.org/0000-0002-4885-6241)
- Daniel A. Alexander (ORCID: https://orcid.org/0000-0003-3831-7479)
- Lilla Zöllei (ORCID: https://orcid.org/0000-0002-6447-9626)
- Juan Eugenio Iglesias (ORCID: https://orcid.org/0000-0001-7569-173X)
- Simone Williams
- Kirsten A. Donald (ORCID: https://orcid.org/0000-0002-0276-9660)
- Zayaan Goolam Nabi
- Thandeka Mazubane
- Steven Williams (ORCID: https://orcid.org/0000-0003-0565-9624)
- Derek A. Jones (ORCID: https://orcid.org/0000-0003-3082-6527)
- Layla Bradford
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/10.58530/2024/3109
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00