Iranian Journal of Mechanical Engineering Transactions of ISME

Iranian Journal of Mechanical Engineering Transactions of ISME

Optimization Predicting Brain Tumor Growth using a Combinational Biomechanics/Mathematical Model

Authors
1 M.Sc. Student, Department of Mechanical Engineering, Shiraz University of Technology, Shiraz, Iran
2 Associate Professor, Department of Mechanical Engineering, Shiraz University of Technology, Shiraz, Iran
Abstract
Brain tumors are one of the most common causes of death in humans, and many efforts have been made to predict tumor growth over time accurately. In this research, with the help of a mathematical-biomechanics combined model, reaction-diffusion equations and structural equations of mechanics of continuous environment are solved with the help of the finite element method, and tumor growth is simulated in different time intervals considering real brain tissue. Using the image processing technique, the real MR image of the brain was used to define the geometry of the problem and determine the brain domain. In the next step, by considering the effective parameters in growth based on real data and applying the appropriate initial and boundary conditions in the problem, the amount and geometry of tumor growth were obtained in the desired time intervals. Then, the analysis of stresses caused by tumor growth and their role in damaging healthy cells has been investigated. Comparison of simulation results with experimental results indicates the accuracy of the present model in predicting the growth of invasive cells.
Keywords

Subjects


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  • Receive Date 02 September 2024
  • Revise Date 16 October 2024
  • Accept Date 30 October 2024