Abstract #2546

Improving manual tractography by automating spurious streamline removal: an application in paediatric tumour patients

Steven Greenstein¹, Sila Genc^1,2, Joseph Yuan-Mou Yang^2,3,4, and Dogu Baran Aydogan^5,6

¹Develpmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia, ²Neuroscience Advanced Clinical Imaging Service (NACIS), Department of Neurosurgery, Royal Children's Hospital, Melbourne, Australia, ³Neuroscience Research, Murdoch Children's Research Institute, Melbourne, Australia, ⁴Department of Paediatrics, University of Melbourne, Melbourne, Australia, ⁵A.I. Virtanen Institute for Molecular Science, University of Eastern Finland, Kuopio, Finland, ⁶Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland

Synopsis

Keywords: Tumors (Pre-Treatment), Software Tools, Automation, Clinical, Neurosurgery, Image-guidance

Motivation: Probabilistic tractography frequently generates false-positive streamlines, requiring time-intensive expert manual editing, complicating its use for pre-surgical planning

Goal(s): To evaluate Purifibre, a novel automated method for removing false-positive streamlines as an alternative to manual editing.

Approach: Purifibre was applied to 14 paediatric brain tumour cases, with performance evaluated against manual edits, both visually and based on Dice similarity scores.

Results: Purifibre achieved a mean Dice score of 0.87 compared to manually-edited tracts, indicating its high accuracy and effectiveness.

Impact: Purifibre, a novel automated method for removing false-positive streamlines, significantly reduces the time needed for manual tract editing. This tool enhances the feasibility of applying probabilistic tractography for pre-surgical planning in tumour cases, especially when pathology disrupts typical streamline structure.

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