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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