A new surgical path planning framework for neurosurgery

• Published in: The international journal of medical robotics + computer assisted surgery Vol. 20; no. 1; pp. e2576 - n/a
• Main Authors: Kurt Pehlivanoğlu, Meltem, Ay, Eren Cem, Eker, Ayşe Gül, Albayrak, Nur Banu, Duru, Nevcihan, Mutluer, Ahmet Serdar, Dündar, Tolga Turan, Doğan, İhsan
• Format: Journal Article
• Language: English
• Published: Hamilton Wiley Subscription Services, Inc 01.02.2024
• Subjects: Algorithms; Anisotropy; Brain; brain atlases; Damage assessment; Dijkstra; Evaluation; Image processing; Minimally invasive surgery; Neurosurgery; Path planning; Planning; Software; Surgeons; Surgery; surgical path planning; Tracks (paths)

Background Despite using a variety of path‐finding algorithms that use tracts, the most significant advancement in this study is considering the values of all brain areas by doing atlas‐based segmentation for a more precise search. Our motivation comes from the literature’s shortcomings in designing...