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Content Provider | IEEE Xplore Digital Library |
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Author | Qi Kong Shaoshan Wang Jiushan Yang Ruiqi Zou Yan Huang Yilong Yin Jingliang Peng |
Copyright Year | 2013 |
Description | Author affiliation: Dept. of Orthopedics, Affiliated Hosp. of Shandong Univ. of TCM, Jinan, China (Shaoshan Wang; Jiushan Yang) || Shandong Univ. of Traditional Chinese Med., Jinan, China (Ruiqi Zou) || Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China (Qi Kong; Yan Huang; Yilong Yin; Jingliang Peng) |
Abstract | To diagnose the patella dislocation, various angles and distances need to be measured on knee CT images, which was traditionally done by doctors manually. In this work, we propose a novel scheme for automatic measurement on knee CT images to assist doctors diagnosis of patella dislocation. Specifically, we first segment the femur and the patella regions on the CT images, then adopt optimal fitting to obtain the central planes of the femur and the patella bones and, based on which, make the measurement. As experimentally demonstrated, the measured results obtained with our system are highly consistent with those manually made by experienced doctors. |
Starting Page | 1130 |
Ending Page | 1134 |
File Size | 205146 |
Page Count | 5 |
File Format | |
ISBN | 9781479923410 |
DOI | 10.1109/ICIP.2013.6738233 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-09-15 |
Publisher Place | Australia |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Computed tomography Image segmentation Knee Medical services Bones Active contours Manuals patella dislocation CT image |
Content Type | Text |
Resource Type | Article |
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