3D segmentation of glioma from brain MR images using seeded region growing and fuzzy c-means clustering

Thirumeni, T (2015) 3D segmentation of glioma from brain MR images using seeded region growing and fuzzy c-means clustering. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

This thesis presents two algorithms for brain MR image segmentation. The images used are axial MR images of the human brain. The images show a glioma. The objective is to segment the tumour and edema surrounding it from the images. Initially the images are pre-processed by contrast adjustment. Segmentation is performed by two algorithms: seeded region growing and fuzzy c-means clustering. After the images are segmented, the volumes of the segmented regions are measured. The segmentation is done in MATLAB. Finally the results are rendered in 3D in AMIRA.

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IITH Creators:	IITH Creators ORCiD
Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Region growing, fuzzy Clustering, TD352
Subjects:	Biomedical Engineering
Divisions:	Department of Biomedical Engineering
Depositing User:	Library Staff
Date Deposited:	03 Jul 2015 05:43
Last Modified:	14 May 2019 11:07
URI:	http://raiithold.iith.ac.in/id/eprint/1639
Publisher URL:
Related URLs:	Google Scholar

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