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

N Anantrasirichai, Lindsay Nicholson, James E Morgan, Irina Erchova, Katie Mortlock, Rachel V North, Julie Albon, Alin Achim

Research output: Contribution to journalArticle (Academic Journal)peer-review

34 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)526-539
Number of pages14
JournalComputerized Medical Imaging and Graphics
Volume38
Issue number6
Early online date24 Jun 2014
DOIs
Publication statusPublished - 1 Sep 2014

Bibliographical note

Copyright © 2014 Elsevier Ltd. All rights reserved.

Fingerprint Dive into the research topics of 'Adaptive-weighted bilateral filtering and other pre-processing techniques for optical coherence tomography'. Together they form a unique fingerprint.

Cite this