Automated Brain Tumor Segmentation from MRI Images using Morphometric Algorithms

(E-pub Ahead of Print)

Author(s): Senthilkumar C*, Gnanamurthy RK.

Journal Name: Current Signal Transduction Therapy

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Abstract:

Objective: Image segmentation plays a vital role in clinical studies and in diagnosing the stages of diseases. The hospitals are marching towards filmless imaging process in par with digital film technology.

Investigation / Methodology: The paper proposes a novel method based on morphometric segmentation algorithm with Region of Interest (ROI) [11]. The core objective is to detect better segmentation of a brain tumor from an MRI image for a clinical study.

Conclusion: A set of experiments 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 [5, 6, 13].

Keywords: Brain Tumor, Segmentation, MRI Image, Region of Interest, Statistical Region merging, Thresholding, Graph Cut Segmentation

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Article Details

(E-pub Ahead of Print)
DOI: 10.2174/1574362414666190808090823

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