Journal of the Institute of Electronics and Information Engineers (전자공학회논문지)

The Institute of Electronics and Information Engineers (대한전자공학회)
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A Study on the Optical flow Method for Analysis of Ipper Airway Deformation from Magnetic Resonance Images for Children with Obstructive Sleep Apnea Syndrome

폐쇄성 수면 무호흡 증후군을 가진 어린이 환자들의 MRI 영상으로부터 상기도 면적 변화 분석을 위한 광류 방법에 대한 연구

  • Lee, Min Hee (Department of Biomedical Engineering, Yonsei University) ;
  • Kim, Dong Youn (Department of Biomedical Engineering, Yonsei University)
  • Received : 2014.01.08
  • Accepted : 2014.03.27
  • Published : 2014.04.25
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Abstract

Obstructive sleep apnea syndrome(OSAS) is a respiratory disease caused by partial or complete obstruction of the upper airway during sleep. In this paper, we proposed the optical flow method to analyze the upper airway dynamic changes during respiration for children with OSAS and control subjects. We compared the absolute value of difference between inspiration and expiration for airway area analysis method and optical flow method for 5 children with OSAS and 6 control subjects. From the statistical analysis, airway area analysis method and optical flow method are statistically significant at the 0.1 (p value is 0.0977) and 0.01 (p value is 0.0011) significance level respectively. From this simulations, the optical flow method could provide more accurate information to diagnose the OSAS patients than the traditional airway area analysis method.

폐쇄성 수면 무호흡 증후군은 수면 중 부분적인 혹은 완전한 상기도 폐쇄로 인한 호흡 장애 질환이다. 본 연구에서는 폐쇄성 수면 무호흡 증후군 환자와 정상인에서의 호흡하는 동안의 상기도 움직임 변화를 분석하기 위하여 광류 방법을 사용하였다. 정상인 6명과 폐쇄성 수면 무호흡 증후군 환자 5명에 대해, 기도 면적 분석 방법과 광류 방법을 적용하여 흡기와 호기에서의 차이의 절대 값을 비교하였다. 통계적 분석 결과, 기도면적 분석 방법과 광류 방법은 각각 유의수준 10%(p값 0.0977)와 1%(p값 0.0011)에서 유의한 결과를 얻었다. 따라서 광류 방법을 이용함으로써 기존의 연구에서 폐쇄성 수면 무호흡 증후군 환자의 진단에 있어 더 정확한 정보를 얻는데 도움이 될 것으로 기대된다.

Keywords

References

  1. R. T. Brouillette, S. K. Fernbach, C. E. Hunt, "Obstructive sleep apnea in infants and children", The Journal of pediatrics, pp. 31-40, 1982.
  2. C. Guillenminault, F. L. Eldrige, F. B. Simmons and W. C. Derment, "Sleep Apenea in eight children", Pediatrics, vol. 58, pp. 23-30, 1976.
  3. J. L. Carroll and G. M. Loughlin, "Diagnostic criteria for Obstructive Sleep Apnea Syndrome in Children", Pediatric Pulmonology, vol. 14, pp. 71-73, 1992. https://doi.org/10.1002/ppul.1950140202
  4. W. S. Kim, "Sleep apnea syndrome", Korean Society for the Study of Obesity 32th Spring Conference, pp. 6-9, The Catholic University of Korea, Seoul ST. Mary's Hospital, Korea, April 2010.
  5. R. Arens, S. Shin, J. M. McDonough, J. M. Palmer, T. Dominguez, H. Meyer, D. M. Wootton, and A. I. Pack, "Changes in Upper Airway Size Tidal Breathing in Children with Obstructive Sleep Apnea Syndrome", American journal of respiratory and critical care medicine, vol. 171, pp. 1298-1304, 2005. https://doi.org/10.1164/rccm.200411-1597OC
  6. J. L. Barron, D. J. Fleet, S. S Beauchemin "Performance of Optical Flow Technique", International Journal of Computer Vision, vol. 12, pp. 43-77, 1994. https://doi.org/10.1007/BF01420984
  7. S. S. Beauchemin and J. L. Barron, "The Computation of Optical Flow", ACM Computing Surveys, vol. 27, pp. 433-466, 1995. https://doi.org/10.1145/212094.212141
  8. A. Singh, "Optical Flow Computation", IEEE Computer Society Press, Los Alamitos. CA, pp. 22-43, 1991.
  9. B. D. Lucas and T. Kanade, "An Iterative Image Registration Technique with an Application to Stereo Vision", In: IJCAI, pp. 674-679, 1981.
  10. B. K. Horn and B. G. Schunck, "Determining Optical Flow", 1981 Technical Symposium East, International Society for Optics and Photonics, pp.319-331, 1981.
  11. S. J. Song, K. G. Nam, J. M. Lee, "Measurement of Optical Flow Using Horn and Anandan Techniques", Proceedings of IEEK conference, vol. 21, pp. 685-688, 1998.