ArticleFunctional neurology
Multi-channel registration of fractional anisotropy and T1-weighted images in the presence of atrophy: application to multiple sclerosis.
Article in Functional neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Prediction of Rotator Cuff Muscle Fibre Orientations Using a Population-Averaged Atlas Generated With Anatomical and Diffusion-Weighted Magnetic Resonance Images.NMR in biomedicine · 2025Article
- Multi-Channel 4D Parametrized Atlas of Macro- and Microstructural Neonatal Brain Development.Frontiers in neuroscience · 2021Article
- Combining Sparse and Dense Features to Improve Multi-Modal Registration for Brain DTI Images.Entropy (Basel, Switzerland) · 2020Article
- Urgent challenges in quantification and interpretation of brain grey matter atrophy in individual MS patients using MRI.NeuroImage. Clinical · 2018Review
- Baseline biomarkers of connectome disruption and atrophy predict future processing speed in early multiple sclerosis.NeuroImage. Clinical · 2018Article
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Authors and funding
9 authors.
Funding
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Abstract
Co-registration of structural T1-weighted (T1w) scans and diffusion tensor imaging (DTI)-derived fractional anisotropy (FA) maps to a common space is of particular interest in neuroimaging, as T1w scans can be used for brain segmentation while DTI can provide microstructural tissue information. While the effect of lesions on registration has been tackled and solutions are available, the issue of atrophy is still open to discussion. Multi-channel (MC) registration algorithms have the advantage of maintaining anatomical correspondence between different contrast images after registration to any target space. In this work, we test the performance of an MC registration approach applied to T1w and FA data using simulated brain atrophy images. Experimental results are compared with a standard single-channel registration approach. Multi-channel registration of fractional anisotropy and T1-weighted images in the presence of atrophy: application to multiple sclerosis Both qualitative and quantitative evaluations are presented, showing that the MC approach provides better alignment with the target while maintaining better T1w and FA co-alignment.
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