Prediction and Compensation of Intraoperative Brain Shift Using Biomechanical Modeling

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Pasandideh Pour, Javad | 2015

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 47364 (08)
University: Sharif University of Technology
Department: Mechanical Engineering
Advisor(s): Farahmand, Farzam
Abstract:
The human brain is the most sensitive and important human organ and surgery must be done with high precision and without risk. During surgery, brain tissue deform continuously due to gravity, out of the cerebrospinal fluid and the changing pressure of the cerebrospinal fluid and the surgical maneuvers. Because the surgeon has no direct view on brain internal, the ways to solve this problem is to pay attention. This method makes it possible to the surgeon see in the brain and the brain tissue deformation. This thesis method is based on biomechanical modeling. After forming finite element model from the pre-operative MRI, brain surface and volume datasets during surgery as a load, apply to the finite element model And after the solution, deformation of brain tissue is visible. The minimum and maximum prediction error of this study 0.33 and 0.55 mm respectively and model with craniotomy loading has 0.65 mm error prediction
Keywords:
Biomechanical Modeling ; Finite Element Method ; Image Matching ; Prediction Error ; Brain Shift Prediction

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