대한의용생체공학회:의공학회지 (Journal of Biomedical Engineering Research)

  • 제37권1호
  • /
  • Pages.31-38
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  • 2016
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  • 1229-0807(pISSN)
  • /
  • 2288-9396(eISSN)
대한의용생체공학회 (The Korean Society of Medical and Biological Engineering)
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3D 초음파 영상에서 방광 내 잔뇨량 추정을 위한 새로운 알고리즘

A New Algorithm to Estimate Urine Volume from 3D Ultrasound Bladder Images

  • 조태식 (경희대학교 생체의공학과) ;
  • 이수열 (경희대학교 생체의공학과) ;
  • 조민형 (경희대학교 생체의공학과)
  • Cho, Tae Sik (Department of Biomedical Engineering, Kyung Hee University) ;
  • Lee, Soo Yeol (Department of Biomedical Engineering, Kyung Hee University) ;
  • Cho, Min Hyoung (Department of Biomedical Engineering, Kyung Hee University)
  • 투고 : 2015.12.07
  • 심사 : 2016.01.13
  • 발행 : 2016.02.29
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초록

For the patients with bladder dysfunction, measurement of urine volume inside the bladder is very critical to avoid bladder failure. In measuring urine volume inside a bladder, low-resolution 3D ultrasound images are widely used. However, urine volume estimation from 3D ultrasound images is prone to big errors and inconsistency because of low spatial resolution and low signal-to-noise ratio of ultrasound images. We developed a new robust volume estimation algorithm which is not computationally expensive. We tested the algorithm on a lab-built ultrasound bladder phantom and volunteers. The average error rate of the human bladder volume estimation was 5.9% which was better than the commercial machine.

키워드

참고문헌

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