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Abstract #0754

Anatomy-constrained automated fiber tract reconstruction for surgery planning: a validation study in language-related white matter tracts

Matteo Mancini1,2, Sjoerd Vos1,2,3, Vejay Vakharia2,4, Rachel Sparks1,2, Karin Trimmel4, Gavin P. Winston3,4,5, John Duncan2,3,4, and Sebastian Ourselin1,2,4,6

1Translational Imaging Group, University College London, London, United Kingdom, 2Wellcome EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom, 3Epilepsy Society MRI Unit, Chalfont St Peter, United Kingdom, 4Department of Clinical and Experimental Epilepsy, University College London, London, United Kingdom, 5Neuroimaging of Epilepsy Laboratory, Montreal Neurological Institute, McGill University, Montreal, Canada, 6Dementia Research Centre, University College London, London, United Kingdom

Diffusion MRI and tractography hold great potential for surgery planning, but fiber tract reconstruction requires an expert rater. In this work, we set up an automated reconstruction pipeline based on anatomical criteria that does not require manual intervention and we validated it on epilepsy patients with specific focus on language-related bundles. We first compared the results with the ones obtained from human raters and then further validated them using task fMRI. The fiber tracts reconstructed from the pipeline were in line with the agreement between different human raters and showed good overlap with function.

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