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KMID : 1137820160370010031
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의공학회지
2016 Volume.37 No. 1 p.31 ~ p.38
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A New Algorithm to Estimate Urine Volume from 3D Ultrasound Bladder Images
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Cho Tae-Sik
Lee Soo-Yeol
Cho Min-Hyoung
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Abstract
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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.
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KEYWORD
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urine volume, bladder, 3D ultrasound, bladder wall detection, volume estimation
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