Mohammad Farnush* Pages 215 - 224 ( 10 )
Background: Various models are used for brain tumors modeling. To our knowledge, no earlier work has been done on modeling the heterogeneous brain tumor that causes dizziness. However, specifying a cell using a model is not new. Unlike all earlier works in this regard, which consider analog or analog-CPU computers in the cell model, the model presented in this work fully utilizes processor computers.Materials and Methods: The purpose of this study is to offer a comprehensive approach for heterogeneous modeling of brain tumor cells. The model uses a brain tumor cell in Matlab and Simulink 3D software. Two heterogeneous models are presented for brain tumor cells: the imagebased cell model and computer-generated cell model. The image-based cell model is obtained through the figure altering on X-ray or ocular figures by recognizing the dissimilar states in the tumors. Results: The computer-generated cell model works based on locating computer produced aggregate cells into tumors. Some subdivisions for both the image-based and computer-generated cell models are presented as well. Conclusion: The positive and negative points of the image-based cell models and computergenerated cell models some scientific advices are presented in this work. Generally, the imagebased cell models could offer analytical facts for each state, but they are expensive and timeconsuming; besides, their performance is heavily influenced by deformation techniques. The computer-generated cell model, on the other hand, provides a higher cost of production and simplicity, but its main contribution is the overall performance and accuracy.
Model, heterogeneous, brain tumor cells, dizziness, concentrated tissues, FEM, DEM.
School of Metallurgy & Materials Engineering, College of Engineering, University of Tehran, Tehran