Image Analysis Using Digital Radiographic Lumbar Spine of Patients with Osteoporosis

골다공증 환자의 Digital 방사선 요추 Image를 이용한 영상분석

  • 박형후 (김원묵기념 봉생병원 영상의학과) ;
  • 이진수 (인제대학교 해운대 백병원 영상의학과)
  • Received : 2014.08.06
  • Accepted : 2014.10.06
  • Published : 2014.11.28


This study aimed to propose an accurate diagnostic method for osteoporosis by realizing a computer-aided diagnosis system with the application of the statistical analysis of texture features using digital images of lateral lumbar spine of patients with osteoporosis and providing reliable supplementary diagnostic information by model experimental research for early diagnosis of diseases. For these purposes, digital images of lateral lumbar spine of normal individuals and patients with osteoporosis were used in the experiments, and the values of statistical texture features on the set ROI were expressed in six parameters. Among the texture feature values of the six parameters of osteoporosis, the highest and lowest recognition rates of 95 and 80% were shown in average gray level and uniformity, respectively. Moreover, all the six parameters showed recognition rates of over 80% for osteoporosis: 82.5% in average contrast, 90% in smoothness, 87.5% in skewness, and 87.5% in entropy. Therefore, if a program developing into a computer-aided diagnosis system for medical images is coded based on the results of this study, it is considered possible to be applied to preliminary diagnostic data for automatic detection of lesions and disease diagnosis using medical images, to provide information for definite diagnosis of diseases, to diagnose by limited device, and to be used to shorten the time to analyze medical images.


Osteoporosis;Texture Feature Analysis;Computer Aided Diagnosis


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