Identification of Brain Tumors using Volume rendering Techniques

The aim of this work is to compute the accurate volumes (3D) of tumors from 2D MR images. In MR images, the presence of tumor differs significantly because of the variation of the tissue cells. A perfect segmentation technique must be selected to separate the tumor tissue from the nearby healthy brain tissue to extract precise volume models. This research explains an effective technique for volume rendering of brain from 2D MRI slices. For medical research, the assessment of the pre-operative volume of tumor is highly essential. The 3D segmented tumor comprises of grey pixel values of the original MR image with well-defined tumor edges.