Organ boundary determination algorithm for detecting internal bleeding

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

Abstract

The purpose of this paper is to propose an organ boundary determination method for detecting internal bleeding. Focused assessment with sonography for trauma (FAST) is important for patients who are sent into shock by internal bleeding. However, the FAST has a low sensitivity, approximately 42.7 %. This study aims, therefore, to construct an automatic internal bleeding detection robotic system on the basis of ultrasound (US) image processing to improve the sensitivity. We developed method for determining algorithms of organ boundaries by low-brightness set analysis, and we detected internal bleeding by the proposed method. Experimental results based on clinical US images of internal bleeding between Liver and Kidney showed that proposed algorithms had a sensitivity of 77.8% and specificity of 95.7%.

Original languageEnglish
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Pages3183-3186
Number of pages4
DOIs
Publication statusPublished - 2012
Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA
Duration: 2012 Aug 282012 Sep 1

Other

Other34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
CitySan Diego, CA
Period12/8/2812/9/1

Fingerprint

Ultrasonography
Ultrasonics
Hemorrhage
Liver
Luminance
Robotics
Image processing
Wounds and Injuries
Shock
Kidney
Sensitivity and Specificity

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Ito, K., Sugano, S., & Iwata, H. (2012). Organ boundary determination algorithm for detecting internal bleeding. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 3183-3186). [6346641] https://doi.org/10.1109/EMBC.2012.6346641

Organ boundary determination algorithm for detecting internal bleeding. / Ito, Keiichiro; Sugano, Shigeki; Iwata, Hiroyasu.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2012. p. 3183-3186 6346641.

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

Ito, K, Sugano, S & Iwata, H 2012, Organ boundary determination algorithm for detecting internal bleeding. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6346641, pp. 3183-3186, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012, San Diego, CA, 12/8/28. https://doi.org/10.1109/EMBC.2012.6346641
Ito K, Sugano S, Iwata H. Organ boundary determination algorithm for detecting internal bleeding. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2012. p. 3183-3186. 6346641 https://doi.org/10.1109/EMBC.2012.6346641
Ito, Keiichiro ; Sugano, Shigeki ; Iwata, Hiroyasu. / Organ boundary determination algorithm for detecting internal bleeding. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2012. pp. 3183-3186
@inproceedings{739d22c04f424c9b83ff4e6f0b65ee94,
title = "Organ boundary determination algorithm for detecting internal bleeding",
abstract = "The purpose of this paper is to propose an organ boundary determination method for detecting internal bleeding. Focused assessment with sonography for trauma (FAST) is important for patients who are sent into shock by internal bleeding. However, the FAST has a low sensitivity, approximately 42.7 {\%}. This study aims, therefore, to construct an automatic internal bleeding detection robotic system on the basis of ultrasound (US) image processing to improve the sensitivity. We developed method for determining algorithms of organ boundaries by low-brightness set analysis, and we detected internal bleeding by the proposed method. Experimental results based on clinical US images of internal bleeding between Liver and Kidney showed that proposed algorithms had a sensitivity of 77.8{\%} and specificity of 95.7{\%}.",
author = "Keiichiro Ito and Shigeki Sugano and Hiroyasu Iwata",
year = "2012",
doi = "10.1109/EMBC.2012.6346641",
language = "English",
isbn = "9781424441198",
pages = "3183--3186",
booktitle = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

}

TY - GEN

T1 - Organ boundary determination algorithm for detecting internal bleeding

AU - Ito, Keiichiro

AU - Sugano, Shigeki

AU - Iwata, Hiroyasu

PY - 2012

Y1 - 2012

N2 - The purpose of this paper is to propose an organ boundary determination method for detecting internal bleeding. Focused assessment with sonography for trauma (FAST) is important for patients who are sent into shock by internal bleeding. However, the FAST has a low sensitivity, approximately 42.7 %. This study aims, therefore, to construct an automatic internal bleeding detection robotic system on the basis of ultrasound (US) image processing to improve the sensitivity. We developed method for determining algorithms of organ boundaries by low-brightness set analysis, and we detected internal bleeding by the proposed method. Experimental results based on clinical US images of internal bleeding between Liver and Kidney showed that proposed algorithms had a sensitivity of 77.8% and specificity of 95.7%.

AB - The purpose of this paper is to propose an organ boundary determination method for detecting internal bleeding. Focused assessment with sonography for trauma (FAST) is important for patients who are sent into shock by internal bleeding. However, the FAST has a low sensitivity, approximately 42.7 %. This study aims, therefore, to construct an automatic internal bleeding detection robotic system on the basis of ultrasound (US) image processing to improve the sensitivity. We developed method for determining algorithms of organ boundaries by low-brightness set analysis, and we detected internal bleeding by the proposed method. Experimental results based on clinical US images of internal bleeding between Liver and Kidney showed that proposed algorithms had a sensitivity of 77.8% and specificity of 95.7%.

UR - http://www.scopus.com/inward/record.url?scp=84870803891&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84870803891&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2012.6346641

DO - 10.1109/EMBC.2012.6346641

M3 - Conference contribution

C2 - 23366602

SN - 9781424441198

SP - 3183

EP - 3186

BT - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

ER -