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Abstract #0721

Improved tractography-based segmentation of the human thalamus

Carla Semedo1, M. Jorge Cardoso1, Sjoerd B. Vos1,2, Alex F. Mendelson1, Annemie Ribbens3, Dirk Smeets3, Jonathan D. Rohrer4, and Sebastien Ourselin1

1Translational Imaging Group, UCL, London, United Kingdom, 2MRI Unit, Epilepsy Society, Chalfont St Peter, United Kingdom, 3Icometrix, Leuven, Belgium, 4Dementia Research Centre, UCL, London, United Kingdom

Accurate segmentation of the thalamus and its nuclei is a prerequisite for studying anatomical connectivity and its correlation to neurological diseases. The probabilistic tractography pipeline in FSL is commonly used for thalamus connectivity-based parcellation. However, dMRI data analysis and tractography are done in a mix of standard and subject spaces which can bias anatomical connectivity findings. Here, we presented a framework that improves thalamus parcellation by performing DW data processing and probabilistic tractography in the subject’s native space, as well by generating population- connectivity priors. Higher segmentation accuracy was achieved with it when compared to FSL’s available pipeline.

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