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Abstract #2163

Probabilistic Tractography of Key Language Tracts: MNI-based Spherical ROIs Improve Sensitivity and Specificity

Jane Ansell1, Melissa Lowe2, Vasilis Hadjigeorgiou2, Jozef Jarosz3, and Marco Borri1
1King's College Hospital NHS Foundation Trust, London, United Kingdom, 2King's College London, London, United Kingdom, 3Department of Neuroradiology, King's College Hospital, London, United Kingdom, London, United Kingdom

Synopsis

Keywords: Tractography, Tractography & Fibre Modelling

Motivation: Pre-surgical tractography aids neurosurgical planning around key language tracts. Standard reconstruction approaches lead to a trade-off between sensitivity and specificity, and may not characterise all aspects of the target tract.

Goal(s): Increase sensitivity and specificity of reconstruction methods for the inferior fronto-occipital fasciculus and arcuate fasciculus and language tracts.

Approach: A new set of three spherical seed, end, and supplementary waypoint regions of interest (ROIs), defined in MNI space, were implemented using volunteer datasets, and results compared to a reference atlas.

Results: The new 3-ROI approach achieved greater overlap with the reference tracts (higher Dice coefficient), with increased sensitivity and/or specificity.

Impact: Improvements in sensitivity and specificity of reconstructed language tracts using 3-ROI based tractography optimise the characterisation of tracts in healthy volunteers. Further evaluation should now be done to allow extension to clinical cases.

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Keywords