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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

Abstract

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.

Keywords

Osteoporosis;Texture Feature Analysis;Computer Aided Diagnosis

References

  1. 이우석, 박형무, 배도완, "한국여성의 골다공증 유병율", 대한폐경학회지, 제9권, 제9호, pp.339-346, 2003.
  2. 김명의, "중년여성의 골다공증에 대한 지식과 인지요인과의 관계", 여성건강간호학회지, 제11권, 제1호, pp.52-57, 2005.
  3. 김다혜, 고성진, 강세식, 김정훈, 김동현, 예수영, "골밀도를 이용한 대퇴근위부 형태 변화의 상관 관계평가", 한국콘텐츠학회논문지, 제12권, 제12호, pp.335-344, 2012.
  4. 김형천, 강재도, 경치욱, 서현철, "골다공증에 한 골절에 있어 골절의 위험인자에 관한 연구", 대한골절학회지, Vol.15, No.1, pp.7-14, 2002.
  5. The Korean Orthopaedic Association, http://www.koa.or.kr/info/index_14_1.php.
  6. S. Koka, T. J. Salinas, and K. A. Kennel, "Osteoporosis Fracture Risk and Prosthodontic Implications," The International Journal of Prosthodontics, Vol.22, No.5, pp.505-506, 2009.
  7. Y. I. Kim, J. H. Park, J. S. Lee, J. W. Kim, S. O. Yang, and D. J. Jeon, "Prevalence and risk factors of the osteoporosis of perimenopausal women in the community population," Korean J Med, Vol.62, pp.11-24, 2002.
  8. W. Pei, J. Chen, and J. Zheng, "Short period clinical observation of compound vibration machine on the treatment of osteoporosis," Chines Journal of Osteoporosis, Vol.15, No.9, pp.657-660, 2009.
  9. 김재균, 문영완, "골다공증의 진단", 대한고관절학회, Vol.23, No.2, pp.108-115, 2011.
  10. Padilla Vivanco, Alfonso Urcid Serrano, and Gonzalo Ba, "Two-dimensional averagy contrast analysis of the joint Fourier spectrum under rotation of an input object," Optical Engineering, Vol.41, No.12, pp.3241-3249, 2002. https://doi.org/10.1117/1.1518676
  11. 김창수, 고성진, 강세식, 김정훈, 김동현, 최석윤, "컴퓨터단층영상에서 TIA를 이용한 간경화의 컴퓨터보조진단", 한국콘텐츠학회논문지, 제12권, 제4호, pp.358-366, 2012. https://doi.org/10.5392/JKCA.2012.12.04.358
  12. 고성진, 이진수, 예수영, 김창수, "초음파영상에 서 갑상선 결절의 컴퓨터자동진단을 위한 Texture Features 알고리즘 응용", 한국콘텐츠학회논문지, 제13권, 제5호, pp.303-310, 2013.
  13. Y. Q. Wu and J. K. Zhang, "Thresholding based on maximum entropic correlation of average gray level gradient two dimensional histogram," Minimicrosystems Shenyang, Vol.30, No.8, pp.1675-1679, 2009.
  14. M. A. Heller, "Texture perception in sighted and blind observation," Percept Psychophys, Vol.45, No.1, pp.49-54, 1989. https://doi.org/10.3758/BF03208032
  15. 오종근, 홍민철, "비대칭도를 이용한 적응적인 Retinex 알고리즘", 대한전자공학회 학술대회논문집, Vol.2013, No.11, pp.584-587, 2013.
  16. 김석한, 웨이블릿을 이용한 내용기반 영상검색 단국대학교 대학원 석사학위논문, 2010.
  17. 강선도, 객체특성을 이용한 내용기반 영상검색, 고려대학교 대학원 박사학위 논문, 2009.
  18. S. H. Yoon and J. G. Kim, "Current treatment of postmenopausal osteoporosis," Korean Journal of Obstetrics and Gynecology Science, Vol.48, No.4, pp.844-856, 2005.
  19. 이기행, "골다공증의 진단", 대한고관절학회, Vol.19, No.3, pp.260-265, 2007.
  20. 정수호, 이해혁, 김태희, 유애리, 차상헌, 이임순, 배동한, 최승도, 박혜인, "고령 폐경여성에서 WHO 진단기준과 ISCD 진단기준에 의한 골다공증 빈도", 대한폐경학회지, Vol.15, No.2, pp.87-92, 2009.
  21. X. Liu and D. Wang, "Texture classification using spectral histograms," IEEE Trans Image Process, Vol.12, No.6, pp.661-670, 2003. https://doi.org/10.1109/TIP.2003.812327