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Content Provider | IEEE Xplore Digital Library |
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Author | Zhi-Cheng Li Kai Li Ken Chen Yao-Qin Xie |
Copyright Year | 2015 |
Description | Author affiliation: Dept. of Med. Ultrasonics, Sun Yat-sen Univ., Guangzhou, China (Kai Li) || Shenzhen Inst. of Adv. Technol., Shenzhen, China (Zhi-Cheng Li; Ken Chen; Yao-Qin Xie) |
Abstract | An accurate, repeatable and noninvasive measurement of kidney volume is an important but difficult task for nephrologists. This paper proposes a new kidney volumetry method by reconstructing the kidney surface from three-dimensional ultrasonography (3DUS) using statistical shape model (SSM). The measurement starts with picking sparse points on the kidney contour from 3DUS images. Then an accurate 3D kidney surface mesh can be reconstructed from the input points using the SSM in a fine-tune way. The kidney volume is finally calculated from the surface using divergence theorem of Gauss. The accuracy and repeatability of the proposed method have been validated on 36 patients. The results demonstrate that the proposed method is a promising solution for clinical evaluation of the kidney volume. |
Starting Page | 2981 |
Ending Page | 2984 |
File Size | 800248 |
Page Count | 4 |
File Format | |
ISSN | 1557170X |
e-ISBN | 9781424492718 |
DOI | 10.1109/EMBC.2015.7319018 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-08-25 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Kidney Shape Surface reconstruction Image reconstruction Volume measurement Three-dimensional displays Ultrasonic variables measurement |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Health Informatics Signal Processing Biomedical Engineering |
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