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A Survey of Image Processing Techniques for Emphysema Detection

by Siddhartha Sankar Nath, Pranati Rakshit
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 15
Year of Publication: 2015
Authors: Siddhartha Sankar Nath, Pranati Rakshit
10.5120/20052-1983

Siddhartha Sankar Nath, Pranati Rakshit . A Survey of Image Processing Techniques for Emphysema Detection. International Journal of Computer Applications. 114, 15 ( March 2015), 7-13. DOI=10.5120/20052-1983

@article{ 10.5120/20052-1983,
author = { Siddhartha Sankar Nath, Pranati Rakshit },
title = { A Survey of Image Processing Techniques for Emphysema Detection },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 15 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 7-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number15/20052-1983/ },
doi = { 10.5120/20052-1983 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:52:50.804700+05:30
%A Siddhartha Sankar Nath
%A Pranati Rakshit
%T A Survey of Image Processing Techniques for Emphysema Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 15
%P 7-13
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main reason behind pulmonary emphysema is mainly due to long-term smoking, and medical treatments are quite difficult. In worst cases, the structure of the lung can get damaged irreversibly. In this case, one of the most important parts is to detect the different stages of the diseases. This requires some well-trained radiologists to observe the changes in the CT scans of the patients over a period of time. But there is dearth of well trained radiologists worldwide. Hence, it would of great help if an accurate computer aided detection (CAD) system for emphysema is developed. Emphysema region classification from CT image is a time consuming process because there exists many sub-regions because of the huge size of CT image. There exists some sub-regions which contain no sign of Emphysema and the classification of these regions is meaningless. In order to speed up the process of classification, an algorithm has been proposed for selecting the Emphysema affected regions which is region of interest. Then only Emphysema affected region is used for classification instead of all of the sub-regions.

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Index Terms

Computer Science
Information Sciences

Keywords

CAD CT Emphysema region of interest.

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