Computer-aided assessment of scoliosis on posteroanterior radiographs

被引:0
|
作者
Junhua Zhang
Edmond Lou
Douglas L. Hill
James V. Raso
Yuanyuan Wang
Lawrence H. Le
Xinling Shi
机构
[1] Yunnan University,Department of Electronic Engineering
[2] Glenrose Rehabilitation Hospital,Department of Rehabilitation Technology
[3] Fudan University,Department of Electronic Engineering
[4] University of Alberta,Department of Radiology and Diagnostic Imaging
关键词
Scoliosis; Cobb angle; Vertebral rotation; Computer-aided measurement; Radiograph;
D O I
暂无
中图分类号
学科分类号
摘要
In order to reduce the observer variability in radiographic scoliosis assessment, a computer-aided system was developed. The system semi-automatically measured the Cobb angle and vertebral rotation on posteroanterior radiographs based on Hough transform and snake model, respectively. Both algorithms were integrated with the shape priors to improve the performance. The system was tested twice by each of three observers. The intraobserver and interobserver reliability analyses resulted in the intraclass correlation coefficients higher than 0.9 and 0.8 for Cobb measurement on 70 radiographs and rotation measurement on 156 vertebrae, respectively. Both the Cobb and rotation measurements resulted in the average intraobserver and interobserver errors less than 2° and 3°, respectively. There were no significant differences in the measurement variability between groups of curve location, curve magnitude, observer experience, and vertebra location. Compared with the documented results, measurement variability is reduced by using the developed system. This system can help orthopedic surgeons assess scoliosis more reliably.
引用
收藏
页码:185 / 195
页数:10
相关论文
共 50 条
  • [1] Computer-aided assessment of scoliosis on posteroanterior radiographs
    Zhang, Junhua
    Lou, Edmond
    Hill, Douglas L.
    Raso, James V.
    Wang, Yuanyuan
    Le, Lawrence H.
    Shi, Xinling
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2010, 48 (02) : 185 - 195
  • [2] Computer-aided King classification of scoliosis
    Zhang, Junhua
    Li, Hongjian
    Lv, Liang
    Shi, Xinling
    Zhang, Yufeng
    TECHNOLOGY AND HEALTH CARE, 2015, 23 : S411 - S417
  • [3] COMPUTER-AIDED ASSESSMENT
    TAGG, SK
    BULLETIN OF THE BRITISH PSYCHOLOGICAL SOCIETY, 1980, 33 (NOV): : 422 - 422
  • [4] Computer-aided Assessment of Catheters and Tubes on Radiographs: How Good Is Artificial Intelligence for Assessment?
    Yi, Xin
    Adams, Scott J.
    Henderson, Robert D. E.
    Babyn, Paul
    RADIOLOGY-ARTIFICIAL INTELLIGENCE, 2020, 2 (01)
  • [5] Computer-aided diagnosis of cardiomegaly in digital chest radiographs
    Department of Oncology, Center for Biomedical Engineering, National Taiwan University, Taipei, Taiwan
    Biomed. Eng. Appl. Basis Commun., 1 (1-3):
  • [6] A Computer-Aided Detection System for Digital Chest Radiographs
    Manuel Carrillo-de-Gea, Juan
    Garcia-Mateos, Gines
    Luis Fernandez-Aleman, Jose
    Luis Hernandez-Hernandez, Jose
    JOURNAL OF HEALTHCARE ENGINEERING, 2016, 2016
  • [7] Efficacy of a new computer-aided design/computer-aided manufacture orthosis in the treatment of adolescent idiopathic scoliosis
    Kessler, Jeffrey I.
    JOURNAL OF PEDIATRIC ORTHOPAEDICS-PART B, 2008, 17 (04): : 207 - 211
  • [8] Computer-Aided Diagnosis for Chest Radiographs in Intensive Care
    Zaglam, Nesrine
    Cheriet, Farida
    Jouvet, Philippe
    JOURNAL OF PEDIATRIC INTENSIVE CARE, 2016, 5 (03) : 113 - 121
  • [9] Computer-Aided System of the Mandibular Cortical Bone Porosity Assessment on Digital Panoramic Radiographs
    Astuti, Eha R.
    Arifin, Agus Z.
    Indraswari, Rarasmaya
    Putra, Ramadhan H.
    Ramadhani, Nastiti F.
    Pramatika, Berty
    EUROPEAN JOURNAL OF DENTISTRY, 2023, 17 (02) : 464 - 471
  • [10] Application of computer-aided approaches to the PUMC classification of scoliosis
    Zhang J.
    Li H.
    Zhang Y.
    Biomedical Engineering Letters, 2017, 7 (03) : 245 - 251