Automated Brain Tumor Segmentation from MRI Images using Morphometric Algorithms

Title:Automated Brain Tumor Segmentation from MRI Images using Morphometric Algorithms

Volume: 15 Issue: 3

Author(s): C. Senthilkumar*R.K. Gnanamurthy

Affiliation:

• Dr. N.G.P. Institute of Technology, Coimbatore, Coimbatore, 641048, Tamil Nadu,India

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.

Cite this article as:

Senthilkumar C. *, Gnanamurthy R.K. , Automated Brain Tumor Segmentation from MRI Images using Morphometric Algorithms, Current Signal Transduction Therapy 2020; 15 (3) . https://dx.doi.org/10.2174/1574362414666190808090823