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Abstract #3265

What to do for an accurate cross-sectional and longitudinal processing of diffusion tensor imaging: application to frontotemporal dementia

Fan Huang1, Jonathan D. Rohrer2, Hui Zhang3, and Martina Bocchetta2
1Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 3Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, United Kingdom


We considered the steps needed to analyse Diffusion Tensor Imaging (DTI) cross-sectionally and longitudinally, following a state-of-the-art approach which takes into account image quality, acquisition consistency, artifact correction, spatial correspondence. We applied this method to a small cohort of frontotemporal dementia (FTD) patients and controls to replicate the findings in the existing literature.

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