Carina detection on chest radiography

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

It is important to check the position of the endotracheal tube on the portable chest radiography for patients in the intensive care units. The position of carina is not easy to identify on portable chest radiography due to the low image contrast and abundant noise at this region of interest. In this paper, a novel method is proposed to identify the position of carina. The proposed method is integrated with the rule-based image segmentation, contrast enhancement, selective thresholding, and morphological image processing. Experimental results show that the proposed method is robust and the success rate is 85.9%. It can be used to enhance patient safety by early detection and prompt correction of improper position of the endotracheal tube.

Original languageEnglish
Title of host publicationICOT 2013 - 1st International Conference on Orange Technologies
Pages127-130
Number of pages4
DOIs
Publication statusPublished - 2013 Jul 12
Event1st International Conference on Orange Technologies, ICOT 2013 - Tainan, Taiwan
Duration: 2013 Mar 122013 Mar 16

Publication series

NameICOT 2013 - 1st International Conference on Orange Technologies

Other

Other1st International Conference on Orange Technologies, ICOT 2013
CountryTaiwan
CityTainan
Period13-03-1213-03-16

Fingerprint

Radiography
Intensive care units
Image segmentation
Image processing

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Huang, M-H., Ting, Z. Y., & Guo, S-M. (2013). Carina detection on chest radiography. In ICOT 2013 - 1st International Conference on Orange Technologies (pp. 127-130). [6521174] (ICOT 2013 - 1st International Conference on Orange Technologies). https://doi.org/10.1109/ICOT.2013.6521174
Huang, Min-Hsin ; Ting, Zih Yun ; Guo, Shu-Mei. / Carina detection on chest radiography. ICOT 2013 - 1st International Conference on Orange Technologies. 2013. pp. 127-130 (ICOT 2013 - 1st International Conference on Orange Technologies).
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title = "Carina detection on chest radiography",
abstract = "It is important to check the position of the endotracheal tube on the portable chest radiography for patients in the intensive care units. The position of carina is not easy to identify on portable chest radiography due to the low image contrast and abundant noise at this region of interest. In this paper, a novel method is proposed to identify the position of carina. The proposed method is integrated with the rule-based image segmentation, contrast enhancement, selective thresholding, and morphological image processing. Experimental results show that the proposed method is robust and the success rate is 85.9{\%}. It can be used to enhance patient safety by early detection and prompt correction of improper position of the endotracheal tube.",
author = "Min-Hsin Huang and Ting, {Zih Yun} and Shu-Mei Guo",
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Huang, M-H, Ting, ZY & Guo, S-M 2013, Carina detection on chest radiography. in ICOT 2013 - 1st International Conference on Orange Technologies., 6521174, ICOT 2013 - 1st International Conference on Orange Technologies, pp. 127-130, 1st International Conference on Orange Technologies, ICOT 2013, Tainan, Taiwan, 13-03-12. https://doi.org/10.1109/ICOT.2013.6521174

Carina detection on chest radiography. / Huang, Min-Hsin; Ting, Zih Yun; Guo, Shu-Mei.

ICOT 2013 - 1st International Conference on Orange Technologies. 2013. p. 127-130 6521174 (ICOT 2013 - 1st International Conference on Orange Technologies).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - It is important to check the position of the endotracheal tube on the portable chest radiography for patients in the intensive care units. The position of carina is not easy to identify on portable chest radiography due to the low image contrast and abundant noise at this region of interest. In this paper, a novel method is proposed to identify the position of carina. The proposed method is integrated with the rule-based image segmentation, contrast enhancement, selective thresholding, and morphological image processing. Experimental results show that the proposed method is robust and the success rate is 85.9%. It can be used to enhance patient safety by early detection and prompt correction of improper position of the endotracheal tube.

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Huang M-H, Ting ZY, Guo S-M. Carina detection on chest radiography. In ICOT 2013 - 1st International Conference on Orange Technologies. 2013. p. 127-130. 6521174. (ICOT 2013 - 1st International Conference on Orange Technologies). https://doi.org/10.1109/ICOT.2013.6521174