Securing an optimum operating field without undesired tissue damage in neurosurgery. (1st October 2016)

• Record Type: Journal Article
• Authors: Fukuhara, A.; Tsujita, T.; Sase, K.; Konno, A.; Nakagawa, A.; Endo, T.; Tominaga, T.; Jiang, X.; Abiko, S.; Uchiyama, M.
• Is Part Of: Advanced robotics. Volume 30:Number 19(2016)
• Page Start: 1245
• Page End: 1259
• Publication Date: 2016-10-01
• Subjects: Neurosurgery -- operating field -- multi-objective optimization -- finite element method; Robotics -- Periodicals; Robotics -- Japan -- Periodicals; Robotics; Japan; Periodicals; 629.89205
• DOI: 10.1080/01691864.2016.1200483
• Languages: English
• ISSNs: 0169-1864

Abstract

Graphical Abstract: Abstract : In neurosurgery, surgeons sometimes retract brain tissue to prepare an operating field around a lesion. In addition, they are required to plan a safe surgical pathway for deep-brain regions while considering tissue damage caused by excessive stress. The goal of this study is to develop a technique for automatically generating a surgery pathway for lesions in the deep-brain region, focusing on securing an operating field around the lesion as a first step and also considering brain tissue deformation. In previous studies, securing the operating field has been treated as a single-objective optimization problem in order to maximize the viewable area of the lesion. However, in this study, the task of securing the operating field is formulated as a multi-objective optimization problem. Using a technique that combines finite element analysis and an optimization method, the principal stress on the brain is constrained to less than a certain threshold value, and the position and orientation of the surgical instrument are optimized for safe retraction of the brain according to various weighting factors.