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Proceedings Paper

Deconvolution and enhancement of optical coherence tomograms
Author(s): Joseph M. Schmitt; Zhou Liang
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Paper 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.

Paper Details

Date Published: 22 May 1997
PDF: 12 pages
Proc. SPIE 2981, Coherence Domain Optical Methods in Biomedical Science and Clinical Applications, (22 May 1997); doi: 10.1117/12.274321
Show Author Affiliations
Joseph M. Schmitt, Hong Kong Univ. of Science and Technology (Hong Kong China)
Zhou Liang, Hong Kong Univ. of Science and Technology (Hong Kong China)


Published in SPIE Proceedings Vol. 2981:
Coherence Domain Optical Methods in Biomedical Science and Clinical Applications
Valery V. Tuchin; Halina Podbielska; Ben Ovryn, Editor(s)

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