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Adaptive-weighted bilateral filtering and other pre-processing techniques for optical coherence tomography

Anantrasirichai, N., Nicholson, Lindsay, Morgan, James E. ORCID:, Erchova, Irina, Mortlock, Katie ORCID:, North, Rachel V. ORCID:, Albon, Julie ORCID: and Achim, Alin 2014. Adaptive-weighted bilateral filtering and other pre-processing techniques for optical coherence tomography. Computerized Medical Imaging and Graphics 38 (6) , pp. 526-539. 10.1016/j.compmedimag.2014.06.012

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This paper presents novel pre-processing image enhancement algorithms for retinal optical coherence tomography (OCT). These images contain a large amount of speckle causing them to be grainy and of very low contrast. To make these images valuable for clinical interpretation, we propose a novel method to remove speckle, while preserving useful information contained in each retinal layer. The process starts with multi-scale despeckling based on a dual-tree complex wavelet transform (DT-CWT). We further enhance the OCT image through a smoothing process that uses a novel adaptive-weighted bilateral filter (AWBF). This offers the desirable property of preserving texture within the OCT image layers. The enhanced OCT image is then segmented to extract inner retinal layers that contain useful information for eye research. Our layer segmentation technique is also performed in the DT-CWT domain. Finally we describe an OCT/fundus image registration algorithm which is helpful when two modalities are used together for diagnosis and for information fusion.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Optometry and Vision Sciences
Systems Immunity Research Institute (SIURI)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RE Ophthalmology
Publisher: Elsevier
ISSN: 0895-6111
Funders: Engineering and Physical Sciences Research Council, BrightFocus Foundation (American Health Assistance Foundation), UK and Eire Glaucoma Society, Wales School of Primary Care Research, Medical Research Council
Date of Acceptance: 13 June 2014
Last Modified: 25 Oct 2022 10:09

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