Abstract
Magnetic resonance imaging (MRI)-based brain tissue analysis is one of the established methods with considerable reliability and versatility and a wide range of applications in basic human brain science and medicine. The aim of this study is to examine the functional and morphological changes in the brains of patients experiencing overstress. This study proposes a finite brain element analysis, which is performed by modeling soft tissue deformation. The modeling process uses different constraints such as material properties, geometry properties, boundary properties, and finite element mesh properties. These properties are used for the stress-strain analysis of the human brain, which is performed through image processing. First, the Montreal Imaging Stress Task is applied to humans. MRI images are obtained during this process. Then, they are segmented using optimized fuzzy logic. After the segmentation, features are extracted in terms of the above-mentioned constraints using the Grey Level Co-occurrence Matrix GLCM and Gabor filters. Finally, the percentage of overstress in patients is determined.