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A New Algorithm to Estimate Urine Volume from 3D Ultrasound Bladder Images
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 Title & Authors
A New Algorithm to Estimate Urine Volume from 3D Ultrasound Bladder Images
Cho, Tae Sik; Lee, Soo Yeol; Cho, Min Hyoung;
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 Abstract
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.
 Keywords
urine volume;bladder;3D ultrasound;bladder wall detection;volume estimation;
 Language
Korean
 Cited by
 References
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