Segmentation and Three- Dimensional Visualization of Brain Tumor and Possibility of Mapping Such Algorithms on High Performance Reconfigurable Computers

Abstract

Brain tumor detection and visualization have important role in the process of the surgical operation, postoperative recovery and disease progression. In this paper methodology and algorithms for brain tumor extraction from the surrounding tissue and boosting the intensity of the tumor region is presented. The methodology is based on the fact that tumor tissue has different average gray value than healthy soft brain tissue. The process of segmentation with depth first search procedure is employed. Also, the possibility of mapping such algorithm on High Performance Reconfigurable Computers (HPRCs) is described. The input data used in this study are the set of the multi slice CT images. The obtained results and 3D reconstructed object can be new paradigm in the surgical assistance tools and brain tumor treatment.