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Abstract #4035

Imaging vascular alterations in a mouse model of Down’s syndrome using magnetic resonance angiography with tensor-based morphometry

Holly E Holmes1, Nick Powell2, James M O'Callaghan1, Jack A Wells1, Ian F Harrison1, Da Ma2, Ozama Ismail1, Victor LJ Tybulewicz3, Frances Wiseman4, Sebastian Ourselin2, Elizabeth M Fisher4, and Mark F Lythgoe1

1Centre for Advanced Biomedical Imaging, University College London, London, United Kingdom, 2Centre for Medical Image Computing, University College London, London, United Kingdom, 3National Institite for Medical Research, London, United Kingdom, 4Institute of Neurology, University College London, London, United Kingdom

Magnetic resonance angiography (MRA) is an established MRI technique for visualising the cerebral vasculature. Interpretation of MR angiograms is often reliant on visual inspection of the data;1 however, it is possible to misinterpret flow artefacts (e.g. signal voids) as vascular alterations.2 In this work, we have used a novel combination of MRA and advanced registration as well as statistical algorithms to explore vascular alterations in the Tc1 mouse model of Down’s syndrome. We identified operator-independent local disturbances in the vascular architecture, which supports previous work in this mouse model as well as observations in the wider DS population.

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