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Phase congruency parameter estimation and discrimination ability in detecting lung disease chest radiograph

The conventional chest radiograph remains a widely tool in the diagnosis of lung diseases even to the present day. Current methods or algorithms for disease detection focus on the discrimination between normal images and images with signs of disease involving chest radiograph. This paper proposed a...

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Main Authors: Ebrahimian, H., Rijal, O. M., Noor, N. M., Yunus, A., Mahyuddin, A. A.
Format: Conference or Workshop Item
Published: 2015
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/59418/
http://dx.doi.org/10.1109/IECBES.2014.7047604
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spelling my.utm.594182021-12-15T04:23:42Z http://eprints.utm.my/id/eprint/59418/ Phase congruency parameter estimation and discrimination ability in detecting lung disease chest radiograph Ebrahimian, H. Rijal, O. M. Noor, N. M. Yunus, A. Mahyuddin, A. A. T Technology (General) The conventional chest radiograph remains a widely tool in the diagnosis of lung diseases even to the present day. Current methods or algorithms for disease detection focus on the discrimination between normal images and images with signs of disease involving chest radiograph. This paper proposed a novel algorithm to solve the difficult problem of discriminating two similar diseases, pulmonary tuberculosis (PTB) and lobar pneumonia (PNEU) using phase congruency. The phase congruency PC(x) parameter estimation was studied to obtain the best PC(x)-values that has the ability to differentiate between normals, PTB and PNEU. Eight texture measures of PC(x) values were then investigated as global measures for differentiation of diseases. All eight of these texture measures were found to have univariate normal distributions which allowed the statistical discriminant function, D(x), to select the best texture measures. The homogeneity texture measure gave the best discrimination for PTB and PNEU with Type 1 Error of 0.1 while the Type II Error of 0.15. 2015 Conference or Workshop Item PeerReviewed Ebrahimian, H. and Rijal, O. M. and Noor, N. M. and Yunus, A. and Mahyuddin, A. A. (2015) Phase congruency parameter estimation and discrimination ability in detecting lung disease chest radiograph. In: 3rd IEEE Conference on Biomedical Engineering and Sciences, IECBES 2014, 8 - 10 December 2014, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/IECBES.2014.7047604
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Ebrahimian, H.
Rijal, O. M.
Noor, N. M.
Yunus, A.
Mahyuddin, A. A.
Phase congruency parameter estimation and discrimination ability in detecting lung disease chest radiograph
description The conventional chest radiograph remains a widely tool in the diagnosis of lung diseases even to the present day. Current methods or algorithms for disease detection focus on the discrimination between normal images and images with signs of disease involving chest radiograph. This paper proposed a novel algorithm to solve the difficult problem of discriminating two similar diseases, pulmonary tuberculosis (PTB) and lobar pneumonia (PNEU) using phase congruency. The phase congruency PC(x) parameter estimation was studied to obtain the best PC(x)-values that has the ability to differentiate between normals, PTB and PNEU. Eight texture measures of PC(x) values were then investigated as global measures for differentiation of diseases. All eight of these texture measures were found to have univariate normal distributions which allowed the statistical discriminant function, D(x), to select the best texture measures. The homogeneity texture measure gave the best discrimination for PTB and PNEU with Type 1 Error of 0.1 while the Type II Error of 0.15.
format Conference or Workshop Item
author Ebrahimian, H.
Rijal, O. M.
Noor, N. M.
Yunus, A.
Mahyuddin, A. A.
author_facet Ebrahimian, H.
Rijal, O. M.
Noor, N. M.
Yunus, A.
Mahyuddin, A. A.
author_sort Ebrahimian, H.
title Phase congruency parameter estimation and discrimination ability in detecting lung disease chest radiograph
title_short Phase congruency parameter estimation and discrimination ability in detecting lung disease chest radiograph
title_full Phase congruency parameter estimation and discrimination ability in detecting lung disease chest radiograph
title_fullStr Phase congruency parameter estimation and discrimination ability in detecting lung disease chest radiograph
title_full_unstemmed Phase congruency parameter estimation and discrimination ability in detecting lung disease chest radiograph
title_sort phase congruency parameter estimation and discrimination ability in detecting lung disease chest radiograph
publishDate 2015
url http://eprints.utm.my/id/eprint/59418/
http://dx.doi.org/10.1109/IECBES.2014.7047604
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score 13.211869

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