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.
Original language | English |
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Pages (from-to) | 1245-1259 |
Number of pages | 15 |
Journal | Advanced Robotics |
Volume | 30 |
Issue number | 19 |
DOIs | |
Publication status | Published - 2016 Oct 1 |
Externally published | Yes |
Keywords
- Neurosurgery
- finite element method
- multi-objective optimization
- operating field
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Human-Computer Interaction
- Hardware and Architecture
- Computer Science Applications