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Abstract #0900

Probabilistic Neighborhood Tractography in the Preterm Neonatal Brain at 3 T

Devasuda Anblagan1, 2, Mark E. Bastin3, Lucy Kershaw1, Susana Muoz Maniega4, Jonathan D. Clayden5, Chinthika Piyasena6, Graham Wilkinson7, Neil Roberts1, Scott I. Semple1, Jane Norman2, James P. Boardman2

1Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom; 2MRC Centre for Reproductive Health, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom; 3Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom; 4Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom; 5Institute of Child Health, University College London, London, United Kingdom; 6BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; 7NHS Lothian, Edinburgh, United Kingdom

Preterm birth is a significant environmental risk factor that can have a marked impact on early life cerebral development. Diffusion MRI and tractography may provide further insights into the cerebral microstructural changes that accompany preterm birth by supplying quantitative biomarkers of white matter integrity in specific tracts of interest. This pilot work describes the first application of an automatic single seed point tractography-based segmentation method, probabilistic neighborhood tractography, to the study of the neonatal brain.

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Keywords

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