• DocumentCode
    2633611
  • Title

    A method for dynamically suppressing sidelobes in optical coherence tomography

  • Author

    Marks, Daniel L. ; Carney, P. Scott ; Boppart, Stephen A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • fYear
    2004
  • fDate
    15-18 April 2004
  • Firstpage
    676
  • Abstract
    Resolution in optical coherence tomography is often degraded due to sidelobes of the point response. Frequently, the spectrum of the low-coherence source is unable to be changed to reduce sidelobes. We present a method that derives a space-invariant linear post processing digital filter that reduces the sidelobes in the reconstructed image while minimizing the increase in image noise. This method is demonstrated on the image of rat mammary tissue.
  • Keywords
    biological tissues; digital filters; image denoising; image reconstruction; image resolution; medical image processing; optical tomography; dynamic sidelobe suppression; image noise minimization; image resolution; low-coherence source; optical coherence tomography; rat mammary tissue; reconstructed image; space-invariant linear post processing digital filter; Bandwidth; Biomedical optical imaging; Deconvolution; Degradation; Digital filters; Fourier transforms; Image reconstruction; Optical filters; Optical noise; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8388-5
  • Type

    conf

  • DOI
    10.1109/ISBI.2004.1398628
  • Filename
    1398628