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
Link To Document :
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