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Content Provider | IEEE Xplore Digital Library |
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Author | Al-Bashir, A.K. Al-Abed, M. Abu Sharkh, F.M. Kordeya, M.N. Rousan, F.M. |
Copyright Year | 2015 |
Description | Author affiliation: Biomed. Eng. Dept., Jordan Univ. of Sci. & Technol., Irbid, Jordan (Al-Bashir, A.K.; Abu Sharkh, F.M.; Kordeya, M.N.) || Biomed. Eng. Dept., Hashemite Univ., Zarqa, Jordan (Al-Abed, M.) || Dept. of Radiat. Oncology, R. Med. Services, Amman, Jordan (Rousan, F.M.) |
Abstract | Developmental Dysplasia of the Hip (DDH) is a medical term represent the hip joint instability that appear mainly in infants. The examination for this condition can be done by ultrasound for children under 6 months old and by X-ray for children over 6 months old. Physician's assessment is based on certain angles derived from those images, namely the Acetabular Angle, and the Center Edge Angle. In this paper, we are presenting a novel, fully automatic algorithm for measuring the diagnostic angles of DDH from the X-ray images. Our algorithm consists of Automatic segmentation and extraction of anatomical landmarks from X-ray images. Both of Acetabular angle and Center edge angle are automatically calculated. The analysis included X-ray images for 16 children recruited for the purposed of this study. The automatically acquired angles accuracy for Acetabular Angle was around 85%, and an absolute deviation of 3.4°±3.3° compared to the physician's manually calculated angle. The results of this method are very promising for the future development of an automatic method for screening X-ray images DDH that complement and aid the physicians' manual methods. |
Starting Page | 6386 |
Ending Page | 6389 |
File Size | 798965 |
Page Count | 4 |
File Format | |
ISSN | 1557170X |
e-ISBN | 9781424492718 |
DOI | 10.1109/EMBC.2015.7319854 |
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 | Image edge detection Hip X-ray imaging Head Pediatrics Accuracy |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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