Paper Details: Downloads: 524
Serial Number: P1150906627
Title: Brain Tumor Detection based on Multi-parameter MRI Image Analysis
Authors: Rajeev Ratan and Sanjay Sharma and S. K. Sharma
Abstract: Segmentation of anatomical regions of the brain is the fundamental problem in medical image analysis. A brain tumor segmentation method has been developed and validated segmentation on 2D & 3D MRI Data. This method can segment a tumor provided that the desired parameters are set properly. This method does not require any initialization while the others require an initialization inside the tumor. The visualization and quantitative evaluations of the segmentation results demonstrate the effectiveness of this approach. 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.
Keywords: Brain tumor, Magnetic resonance Imaging (MRI), Image segmentation, watershed segmentation, MATLAB
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 9
Issue: 3
Submission Date: 2/2/2009 12:00:00 AM
Review Date: 2/8/2009 12:00:00 AM
Publishing Date: 2/21/2009 12:00:00 AM
Article Downloads: 524
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