22 May 1997 Deconvolution and enhancement of optical coherence tomograms
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joseph M. Schmitt, 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); doi: 10.1117/12.274321; https://doi.org/10.1117/12.274321
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