Title:Automated Brain Tumor Segmentation from MRI Images using Morphometric Algorithms
VOLUME: 15 ISSUE: 3
Author(s):C. Senthilkumar* and R.K. Gnanamurthy
Affiliation:Dr. N.G.P. Institute of Technology, Coimbatore, Coimbatore, 641048, Tamil Nadu, Dhanalakshmi Srinivasan College of Engineering, Coimbatore, Coimbatore, 641105, Tamil Nadu
Keywords:Brain tumor, pre-processing, segmentation, region of interest, statistical region merging, thresholding, graph cut
segmentation.
Abstract:
Background: Image segmentation plays a vital role in clinical study and in diagnosing
the stages of diseases. The hospitals are marching towards filmless imaging process in par with
digital film technology.
Materials and Methods: The paper proposes a novel method based on morphometric segmentation
algorithm with Region of Interest (ROI). The core objective is to detect better segmentation
of a brain tumor from an MRI image for a clinical study.
Results and Conclusion: A set of experiment has been performed for the analysis of the proposed
work on several MRI images. The proposed morphometric segmentation method provides better
accuracy on segmentation of tumor image from the input MRI image.
