Al-Bashir Areen K, Al-Abed Mohammad, Abu Sharkh Fayez M, Kordeya Mohamed N, Rousan Fadi M
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6386-9. doi: 10.1109/EMBC.2015.7319854.
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.
发育性髋关节发育不良(DDH)是一个医学术语,指主要出现在婴儿身上的髋关节不稳定。对于这种病症的检查,6个月以下的儿童可通过超声进行,6个月以上的儿童则通过X射线进行。医生的评估基于从这些图像得出的特定角度,即髋臼角和中心边缘角。在本文中,我们提出了一种全新的、用于从X射线图像测量DDH诊断角度的全自动算法。我们的算法包括从X射线图像中自动分割并提取解剖标志点。髋臼角和中心边缘角均可自动计算得出。分析纳入了为本研究目的招募的16名儿童的X射线图像。自动获取的髋臼角精度约为85%,与医生手动计算的角度相比,绝对偏差为3.4°±3.3°。该方法的结果对于未来开发一种自动筛查X射线图像DDH的方法非常有前景,这种方法可以补充并辅助医生的手动方法。