Selecting a variable for predicting the diagnosis of PTB patients from comparison of chest X-ray images

A statistical method of comparing two digital chest radiographs for Pulmonary Tuberculosis (PTB) patients has been proposed. After applying appropriate image registration procedures, a selected subset of each image is converted to an image histogram (or box plot). Comparing two chest X-ray images is...

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Main Authors: Rijal, Omar Mohd, Noor, Norliza Mohd, Teng, S.L
Format: Article
Published: Asian Network for Scientific Information 2008
Subjects:
Online Access:http://eprints.utm.my/7683/
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author Rijal, Omar Mohd
Noor, Norliza Mohd
Teng, S.L
author_facet Rijal, Omar Mohd
Noor, Norliza Mohd
Teng, S.L
author_sort Rijal, Omar Mohd
building UTeM Institutional Repository
collection Online Access
description A statistical method of comparing two digital chest radiographs for Pulmonary Tuberculosis (PTB) patients has been proposed. After applying appropriate image registration procedures, a selected subset of each image is converted to an image histogram (or box plot). Comparing two chest X-ray images is equivalent to the direct comparison of the two corresponding histograms. From each histogram, eleven percentiles (of image intensity) are calculated. The number of percentiles that shift to the left (NLSP) when second image is compared to the first has been shown to be an indicator of patients' progress. In this study, the values of NLSP is to be compared with the actual diagnosis (Y) of several medical practitioners. A logistic regression model is used to study the relationship between NLSP and T. This study showed that NLSP may be used as an alternative or second opinion for Y. The proposed regression model also show that important explanatory variables such as outcomes of sputum test (Z) and degree of image registration (W) may be omitted when estimating Y-values.
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institution Universiti Teknologi Malaysia
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publishDate 2008
publisher Asian Network for Scientific Information
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spelling utm-76832017-10-23T04:17:25Z http://eprints.utm.my/7683/ Selecting a variable for predicting the diagnosis of PTB patients from comparison of chest X-ray images Rijal, Omar Mohd Noor, Norliza Mohd Teng, S.L QA Mathematics A statistical method of comparing two digital chest radiographs for Pulmonary Tuberculosis (PTB) patients has been proposed. After applying appropriate image registration procedures, a selected subset of each image is converted to an image histogram (or box plot). Comparing two chest X-ray images is equivalent to the direct comparison of the two corresponding histograms. From each histogram, eleven percentiles (of image intensity) are calculated. The number of percentiles that shift to the left (NLSP) when second image is compared to the first has been shown to be an indicator of patients' progress. In this study, the values of NLSP is to be compared with the actual diagnosis (Y) of several medical practitioners. A logistic regression model is used to study the relationship between NLSP and T. This study showed that NLSP may be used as an alternative or second opinion for Y. The proposed regression model also show that important explanatory variables such as outcomes of sputum test (Z) and degree of image registration (W) may be omitted when estimating Y-values. Asian Network for Scientific Information 2008 Article PeerReviewed Rijal, Omar Mohd and Noor, Norliza Mohd and Teng, S.L (2008) Selecting a variable for predicting the diagnosis of PTB patients from comparison of chest X-ray images. Journal of Applied Sciences, 8 (7). pp. 1293-1298. ISSN 1812-5654 http://doi.dx.org/10.3923/jas.2008.1293.1298
spellingShingle QA Mathematics
Rijal, Omar Mohd
Noor, Norliza Mohd
Teng, S.L
Selecting a variable for predicting the diagnosis of PTB patients from comparison of chest X-ray images
title Selecting a variable for predicting the diagnosis of PTB patients from comparison of chest X-ray images
title_full Selecting a variable for predicting the diagnosis of PTB patients from comparison of chest X-ray images
title_fullStr Selecting a variable for predicting the diagnosis of PTB patients from comparison of chest X-ray images
title_full_unstemmed Selecting a variable for predicting the diagnosis of PTB patients from comparison of chest X-ray images
title_short Selecting a variable for predicting the diagnosis of PTB patients from comparison of chest X-ray images
title_sort selecting a variable for predicting the diagnosis of ptb patients from comparison of chest x-ray images
topic QA Mathematics
url http://eprints.utm.my/7683/
http://eprints.utm.my/7683/