Noninvasive internal bleeding detection method by measuring blood flow under ultrasound cross-section image.

Keiichiro Ito, Koichi Tsuruta, Shigeki Sugano, Hiroyasu Iwata

Research output: Contribution to journalArticle

Abstract

The purpose of this paper is to propose noninvasive internal bleeding detection method by using ultrasound (US) image processing under US cross-section image. In this study, we have developed a robotic system for detecting internal bleeding based on the blood flow measured by using a noninvasive modality like an US imaging device. Some problems related to the measurement error, however, still need to be addressed. In this paper, we focused on US image processing under US cross-section image, and constructed blood flow measurement algorithm under US cross-section image for internal bleeding detection. We conducted preliminary blood flow measurement experiments using a phantom containing artery model and a manipulator equipped with a US probe (BASIS-1). The results present the experimental validation of the proposed method.

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Blood
Ultrasonics
Hemorrhage
Robotics
Flow measurement
Ultrasonography
Arteries
Image processing
Equipment and Supplies
Measurement errors
Manipulators
Imaging techniques
Experiments

ASJC Scopus subject areas

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

Cite this

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title = "Noninvasive internal bleeding detection method by measuring blood flow under ultrasound cross-section image.",
abstract = "The purpose of this paper is to propose noninvasive internal bleeding detection method by using ultrasound (US) image processing under US cross-section image. In this study, we have developed a robotic system for detecting internal bleeding based on the blood flow measured by using a noninvasive modality like an US imaging device. Some problems related to the measurement error, however, still need to be addressed. In this paper, we focused on US image processing under US cross-section image, and constructed blood flow measurement algorithm under US cross-section image for internal bleeding detection. We conducted preliminary blood flow measurement experiments using a phantom containing artery model and a manipulator equipped with a US probe (BASIS-1). The results present the experimental validation of the proposed method.",
author = "Keiichiro Ito and Koichi Tsuruta and Shigeki Sugano and Hiroyasu Iwata",
year = "2012",
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AB - The purpose of this paper is to propose noninvasive internal bleeding detection method by using ultrasound (US) image processing under US cross-section image. In this study, we have developed a robotic system for detecting internal bleeding based on the blood flow measured by using a noninvasive modality like an US imaging device. Some problems related to the measurement error, however, still need to be addressed. In this paper, we focused on US image processing under US cross-section image, and constructed blood flow measurement algorithm under US cross-section image for internal bleeding detection. We conducted preliminary blood flow measurement experiments using a phantom containing artery model and a manipulator equipped with a US probe (BASIS-1). The results present the experimental validation of the proposed method.

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