Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Speckle Reduction Method in Wavelet Domain for OCT Image Enhancement

OCT 영상 개선을 위한 웨이블릿 영역에서의 Speckle 저감 방법

  • 이창수 (수원대학교 전자공학과) ;
  • 나지훈 (광주과학기술원 정보통신공학과) ;
  • 이병하 (광주과학기술원 정보통신공학과) ;
  • 장주완 (수원대학교 전자공학과)
  • Published : 2006.04.01
Download PDF
⟨ Previous Next ⟩

Abstract

Optical coherence tomography (OCT) is high resolution medical imaging system which is obtaining image inside biological objects with non-destructive method. OCT system is based on Michelson interferometer with a reciprocating mirror in the reference arm and a biological object in the sample arm. The obtained OCT image suffers from a granular or mottled image, called speckle. Speckle is caused by random interferences between reflected coherence waves. In this paper, we propose effective speckle reduction method that uses wavelet transform. With wavelet domain image, sub-windowing and thresholding are performed. Finally, speckle reduction experiments for Misgurnus mizolepis skin and rat eye images are shown.

Keywords

References

  1. B. E. Bouma, Guiilermo J. Teamey, Handbook of Optical Coherence Tomography, Marcel Dekker, Inc., 2002
  2. 이병하， 최은서， 나지훈， 이창수， 'OCT를 위한 신호 처리계，' 한국광학회 2003년도 동계학술대회논문집， pp. 292-293， Feb.， 2003
  3. 이창수, 이병하, '광학 영상기를 위한 실시간 영상 신호처리에 관한 연구' ICASE, vol. 10, no. 4, pp. 239-248, Mar., 2004 https://doi.org/10.5302/J.ICROS.2004.10.3.239
  4. S. Paes, S. Y. Ryu, J. H. Na, E. S. Choi, C. S. Lee, B. H. Lee, 'Combined applications of iterative deconvolution methods and adaptive speckle filters for optical coherence tomography,' Second Asian and Pacific Rim Symposium on Biophotonics Taiwan, pp. 137-138, Dec., 2004 https://doi.org/10.1109/APBP.2004.1412318
  5. J. M. Schmitt, S. H. Xiang, K. M. Yung, 'Speckle in optical coherence tomography,' Journal of Biomedical Optics, vol. 4, no. 1, pp. 95-105, Jan., 1999 https://doi.org/10.1117/1.429925
  6. J.-W. Chang, C. S. Lee, J. H. Na, Stephane Paes, B. H. Lee, 'Speckle reduction in the wavelet domain for image with optical coherence tomography,' International Conference on Control, Automation, and Systems, pp. 2459-2463, Jun., 2005
  7. A. K. Chan, C. Peng, Wavelets for Sensing Technologies, Artech House, Inc., 2003
  8. R. C. Gonzalez, R. E. Woods, Digital Image Processing, 2th, Prentice-Hall, Inc., 2002
  9. A. S. Frangakis, A. Stoschek, R. Hegerf, 'Wavelet transform filtering and nonlinear anisotropic diffusion assessed for signal reconstruction performance on multidimensional biomedical data,' IEEE Trans. on Biomedical Engineering, vol. 48, no. 2, pp. 213-222, Feb., 2003 https://doi.org/10.1109/10.909642
  10. D. L. Donoho, 'De-noising by soft thresholding,' IEEE Trans. on Information Theory, vol. 41, no. 3, May, 1995 https://doi.org/10.1109/18.382009