Literature DB >> 26737754

Algorithm for automatic angles measurement and screening for Developmental Dysplasia of the Hip (DDH).

Areen K Al-Bashir, Mohammad Al-Abed, Fayez M Abu Sharkh, Mohamed N Kordeya, Fadi M Rousan.   

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.

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Year:  2015        PMID: 26737754     DOI: 10.1109/EMBC.2015.7319854

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  A novel computer-based method for measuring the acetabular angle on hip radiographs.

Authors:  Seda Sahin; Emin Akata; Orcun Sahin; Cengiz Tuncay; Hüseyin Özkan
Journal:  Acta Orthop Traumatol Turc       Date:  2017-01-12       Impact factor: 1.511

2.  Multi-task hourglass network for online automatic diagnosis of developmental dysplasia of the hip.

Authors:  Jingyuan Xu; Hongtao Xie; Qingfeng Tan; Hai Wu; Chuanbin Liu; Sicheng Zhang; Zhendong Mao; Yongdong Zhang
Journal:  World Wide Web       Date:  2022-05-04       Impact factor: 3.000

3.  Detection of developmental dysplasia of the hip in X-ray images using deep transfer learning.

Authors:  Mohammad Fraiwan; Noran Al-Kofahi; Ali Ibnian; Omar Hanatleh
Journal:  BMC Med Inform Decis Mak       Date:  2022-08-13       Impact factor: 3.298

  3 in total

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