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Abstract #4788

Improving Specificity in Fixel-Based Analysis

Hossein Rafipoor1, Saad Jbabdi1, Luis Concha2, and Michiel Cottaar1
1Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom, 2Universidad Nacional Autonoma de Mexico, Querétaro, Mexico

Synopsis

Keywords: Diffusion Modeling, Diffusion Analysis and Visualization, Fixel-based analysis, tractometry, white matter, microstructure

Motivation: Fixel-based analysis in diffusion MRI is widely used but its ability to specifically isolate changes in affected fibres remains underexplored.

Goal(s): To assess and improve the specificity of fixel-based metrics in detecting changes in affected fibres without cross-contamination from crossing fibres.

Approach: Diffusion MRI data from a mouse model of unilateral retinal ischemia were analysed using basic and extended ball-and-stick models, with the extended model incorporating perpendicular diffusivity as a parameter.

Results: The basic model identified injury but lacked specificity. The extended model improved specificity, showing unchanged results in intact fibres and increased perpendicular diffusivity in injured fibres.

Impact: This study improves the specificity of fixel-based analysis in diffusion MRI, allowing for more accurate detection of fiber-specific microstructural changes. It paves the way for tract-specific metrics that could enhance the diagnosis of neurological conditions with selective fibre degeneration.

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Keywords