Deconvolution and enhancement of optical coherence tomograms

Joseph M. Schmitt; Zhou Liang

doi:10.1117/12.274321

22 May 1997 Deconvolution and enhancement of optical coherence tomograms

Joseph M. Schmitt, Zhou Liang

Proceedings Volume 2981, Coherence Domain Optical Methods in Biomedical Science and Clinical Applications; (1997) https://doi.org/10.1117/12.274321
Event: BiOS '97, Part of Photonics West, 1997, San Jose, CA, United States

Abstract

Subsurface images of biological tissue obtained by optical coherence tomography (OCT) lack of contrast and are corrupted by coherent noise. In this study we investigated model-based deconvolution methods designed for improving the quality of optical-coherence tomograms of living skin. The methods incorporate a priori information about the point-spread function of the imaging optics, as well as optical properties of the tissue. Deconvolution of the aberrated point-spread function was carried out by using CLEAN, an iterative point reconstruction method. A modification of the standard CLEAN algorithm based on a Wiener filter was made to reduce corrugation artifacts in images of densely packed clusters of scatterers. The algorithms were evaluated first on simulated one-dimensional data arrays and then applied to two- dimensional optical coherence tomograms of skin. Our results suggest that significant improvement in image contrast and resolution can be achieved with the deconvolution algorithm.

Citation Download Citation

Joseph M. Schmitt and Zhou Liang "Deconvolution and enhancement of optical coherence tomograms", Proc. SPIE 2981, Coherence Domain Optical Methods in Biomedical Science and Clinical Applications, (22 May 1997); https://doi.org/10.1117/12.274321

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available