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Abstract #1738

Minimizing false streamlines in anatomically constrained tractography for neurosurgery guidance in patients with brain neoplasms

Daniel Krahulec1, Ahmed Radwan2, Stefan Sunaert2, Maarten Versluis1, Kim van de Ven1, and Marcel Breeuwer1,3
1MR R&D Clinical Science, Philips Healthcare, Best, Netherlands, 2Department of Imaging & Pathology, Translational MRI, KU Leuven, Leuven, Belgium, 3Department of Biomedical Engineering – Medical Image Analysis, Eindhoven University of Technology, Eindhoven, Netherlands

A data analysis pipeline comprising KUL neuroimaging tools was applied to analyze diffusion and anatomical MRI datasets with neoplastic lesions and perform diffusion tractography with anatomical priors. We utilized a novel framework for reducing the amount of false positive streamlines to allow for improved visualization of different fiber bundles. Results illustrate the meaningfulness of this approach in neurosurgery workflow through offering clinicians more information on the quality of perilesional fiber bundles as well as where to resect with care to preserve functionally eloquent areas.

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