Computer-generated index for evaluation of idiopathic scoliosis in digital chest images: A comparison with digital measurement

Fuk Hay Tang, Wing Chi Chan, Hin Pong Lau, Po Yan Tsui, Chi Wa Cheung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)


An intelligence system was used to generate index for scoliosis. Tests were designed to evaluate the consistency of the automatic computer-generated index and to quantify the correlation between Cobb angle and computer generated scoliosis classification index (SCI). A fully automatic computer-generated index can be used to assess the extent of spinal curvature rather than manual measurement on radiographs. This study aims to evaluate the relation of an automatic computer-generated index in assessing the spinal curvature of scoliosis quantitatively on digital chest images. Sixty chest radiographs were obtained in this study. Cobb angle measurement and the index generated were compared by parametric statistical tests. The SCI method was demonstrated to be reproducible. There was also statically significant positive correlation between Cobb angle and SCI (Pearson's correlation: r = 0.9229). The Computer-generated index method is valid and reliable in quantifying measurement of spinal curvature of scoliosis as the correlation between Cobb's angle and SCI in nearly perfect positive for Cobb angle more than 10 degree. It is noted that with widely use of this computer method, this quantitative method proposed is a promising method in improving the reliability of scoliosis assessment and reducing the workload of clinical staff.
Original languageEnglish
JournalJournal of Digital Imaging
Issue numberSUPPL. 1
Publication statusPublished - 1 Oct 2008


  • Chest radiographs
  • Classification
  • Computer-aided diagnosis (CAD)
  • Fuzzy logic

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Computer Science Applications


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