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Abstract #1218

Characterization of a Novel Hypomyelination Mouse Model Using Microstructural Imaging of Myelin Volume Fraction and Axon g-ratio

Vladimir Grouza1,2, Zhe Wu1,3, Marius Tuznik1,2, Hooman Bagheri4, Dan Wu5, Alan C Peterson2,4,6, and David Rudko1,2,7
1McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, QC, Canada, 2Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 3Techna Institute, University Health Network, Toronto, ON, Canada, 4Department of Human Genetics, McGill University, Montreal, QC, Canada, 5Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 6Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, Canada, 7Department of Biomedical Engineering, McGill University, Montreal, QC, Canada

We investigated a novel mouse model of CNS hypomyelination using T2* weighted mGRE and diffusion weighted imaging. By integrating a recently developed method for MWF estimation from mGRE data (BSS-rPCA), we observed strong correlations between Mbp/Golli mRNA expression levels and MVF in select WM tracts in the brain. In addition, WM tract g-ratio values computed from BSS-rPCA MVF combined with NODDI-derived parameters were consistent with those found in the literature computed using differing methods. These results support integrating BSS-rPCA MWF estimates into quantitative microstructure evaluation workflows.

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