Abstract #0754

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

Matteo Mancini^1,2, Sjoerd Vos^1,2,3, Vejay Vakharia^2,4, Rachel Sparks^1,2, Karin Trimmel⁴, Gavin P. Winston^3,4,5, John Duncan^2,3,4, and Sebastian Ourselin^1,2,4,6

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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