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An Intelligent Speckle Reduction Algorithm for Optical Coherence Tomography Images

Adabi, Saba, Conforto, Silvia, Clayton, Anne, Podoleanu, Adrian G.H., Hojjat, Ali, Avanaki, Mohammad R. N. (2016) An Intelligent Speckle Reduction Algorithm for Optical Coherence Tomography Images. In: Ribeiro, Paulo A. Ribeiro and Raposo, Maria, eds. Proceedings of the 4th International Conference on Photonics, Optics and Laser Technology. . pp. 38-43. SciTePress ISBN 978-989-758-174-8. (doi:10.5220/0005744700380043) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://doi.org/10.5220/0005744700380043

Abstract

Optical Coherence Tomography (OCT) offers three dimensional images of tissue microstructures. Although OCT imaging offers a promising high resolution method, due to the low coherent light source used in the configuration of OCT, OCT images suffers from an artefact called, speckle. Speckle deteriorates the image quality and effects image analysis algorithm such as segmentation and pattern recognition. We present a novel and intelligent speckle reduction algorithm to reduce speckle based on an ensemble framework of Multi-Layer Perceptron (MLP) neural networks. We tested the algorithm on images of retina obtained from a spectrometer-based Fourier-domain OCT system operating at 890 nm, and observed considerable improvement in the signal-to-noise ratio and contrast of the images.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.5220/0005744700380043
Divisions: Faculties > Sciences > School of Physical Sciences
Depositing User: Matthias Werner
Date Deposited: 23 Jan 2017 16:38 UTC
Last Modified: 26 Jan 2020 04:09 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/60044 (The current URI for this page, for reference purposes)
Podoleanu, Adrian G.H.: https://orcid.org/0000-0002-4899-9656
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