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 language | English |
|---|---|
| Title of host publication | ICOT 2013 - 1st International Conference on Orange Technologies |
| Pages | 127-130 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2013 Jul 12 |
| Event | 1st International Conference on Orange Technologies, ICOT 2013 - Tainan, Taiwan Duration: 2013 Mar 12 → 2013 Mar 16 |
Publication series
| Name | ICOT 2013 - 1st International Conference on Orange Technologies |
|---|
Other
| Other | 1st International Conference on Orange Technologies, ICOT 2013 |
|---|---|
| Country | Taiwan |
| City | Tainan |
| Period | 13-03-12 → 13-03-16 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
Cite this
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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 proceeding › Conference contribution
TY - GEN
T1 - Carina detection on chest radiography
AU - Huang, Min-Hsin
AU - Ting, Zih Yun
AU - Guo, Shu-Mei
PY - 2013/7/12
Y1 - 2013/7/12
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=84879862152&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84879862152&partnerID=8YFLogxK
U2 - 10.1109/ICOT.2013.6521174
DO - 10.1109/ICOT.2013.6521174
M3 - Conference contribution
SN - 9781467359368
T3 - ICOT 2013 - 1st International Conference on Orange Technologies
SP - 127
EP - 130
BT - ICOT 2013 - 1st International Conference on Orange Technologies
ER -