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A Methodical Approach for Detection and 3-D Reconstruction of Brain Tumor in MRI

by Sayali Lopes, Deepak Jayaswal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 17
Year of Publication: 2015
Authors: Sayali Lopes, Deepak Jayaswal
10.5120/20840-3580

Sayali Lopes, Deepak Jayaswal . A Methodical Approach for Detection and 3-D Reconstruction of Brain Tumor in MRI. International Journal of Computer Applications. 118, 17 ( May 2015), 37-43. DOI=10.5120/20840-3580

@article{ 10.5120/20840-3580,
author = { Sayali Lopes, Deepak Jayaswal },
title = { A Methodical Approach for Detection and 3-D Reconstruction of Brain Tumor in MRI },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 17 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 37-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number17/20840-3580/ },
doi = { 10.5120/20840-3580 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:02:45.092657+05:30
%A Sayali Lopes
%A Deepak Jayaswal
%T A Methodical Approach for Detection and 3-D Reconstruction of Brain Tumor in MRI
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 17
%P 37-43
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It always takes a skilled neurologist to detect a tumor in the MRI scans, which the numerologist does with the naked eye. Doctors have had only 2D cross sectional images for viewing the tumor in the MRI scans. This research presents a method for automatic tumor detection with an added feature of reconstructing its 3D image. The research involves implementation of various steps of detecting and extracting the tumor from the 2D slices of MRI brain images by Seeded region growing technique along with automatic seed selection and designing software for reconstructing 3D image from a set of 2D tumor images. The seeded region growing method is very attractive method for semantic image segmentation which involves high level knowledge of image components during the seed selection procedure. The volume of the tumor is also estimated based on the computation of these images to assist the radiologist.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Brain Tumor Segmentation and 3D visualization.

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