Organ boundary determination algorithm for detecting internal bleeding.

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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%.

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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

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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",
language = "English",
volume = "2012",
pages = "3183--3186",
journal = "Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference",
issn = "1557-170X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

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AU - Sugano, Shigeki

AU - Iwata, Hiroyasu

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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%.

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