Morphological Image Processing Approach for 2D to 3D Reconstruction of MRI Brain Tumor from MRI Images

Abstract

The 2D Image Data to visualize in the MRI images which never give the actual feel of how the internal parts would exactly look like. This project presents method for 3D image reconstruction, which is one of the most attractive avenues in Computed tomography (CT) and Magnetic Resonance Imaging (MRI) are modern and valuable diagnostic methods in a wide range of medical applications. Segmentation of anatomical regions of the brain is the fundamental problem in medical image analysis. In this paper brain tumor segmentation method has been developed and validated segmentation on 2 MRI Data. In this study, after a manual segmentation procedure the tumor identification, the investigations has been made for the potential use of MRI data for improving brain tumor shape approximation and 2D & 3D visualization for surgical planning and assessing tumor. Surgical planning now uses both 2D & 3D models that integrate data from multiple imaging modalities, each highlighting one or more aspects of morphology or functions. Finally, work was carried over to calculate the area of the tumor of single slice of MRI data set and then it was extended to calculate the volume of the tumor from multiple image MRI data sets. Experimental results show that method produces satisfactory output.