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Rib locating on chest direct radiography image using watershed algorithm and correlation matching

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posted on 2025-05-09, 13:11 authored by Xuechen Li, Suhuai LuoSuhuai Luo, Qingmao Hu
A rib locating method on chest direct radiography (DR) image using watershed algorithm and correlation matching is presented in this paper. Firstly, the body and spine are located by employing watershed algorithm; second, the body model is selected to remove other bones outside body; thirdly, the models of left and right ribs are resized and rotated to fit ribs of each side respectively; finally, the rib regions are extracted, each one of which contains only one rib. 70 DR images are used to test the method. The experiment result shows that the average error rate, accuracy, and sensitivity are respectively 0.067, 0.828 and 0.862.

History

Source title

Proceedings of the 2013 International Symposium on Computational Models for Life Sciences

Name of conference

2013 International Symposium on Computational Models for Life Sciences (CMLS)

Location

Sydney

Start date

2013-11-27

End date

2013-11-29

Pagination

90-97

Editors

Sun, C., et al.

Publisher

AIP Publishing

Place published

Melville, NY

Language

  • en, English

College/Research Centre

Faculty of Science

School

School of Design, Communication and Information Technology

Rights statement

This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. Xuechen Li, Suhuai Luo, Qingmao Hu, ‘Rib locating on chest direct radiography image using watershed algorithm and correlation matching’ Research Lab for Medical Imaging and Digital Surgery, AIP Conference Proceedings 2013 1559:1, 90-97. http://dx.doi.org/10.1063/1.4825000

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