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Spatial compounding algorithm for speckle reduction of dynamic focus OCT images

Avanaki, M.R.N., Cernat, Ramona, Tadrous, P.J., Tatla, T., Podoleanu, Adrian G.H., Ali Hojjatoleslami, S. (2013) Spatial compounding algorithm for speckle reduction of dynamic focus OCT images. IEEE Photonics Technology Letters, 25 (15). pp. 1439-1442. ISSN 1041-1135. (doi:10.1109/LPT.2013.2266660) (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://dx.doi.org/10.1109/LPT.2013.2266660

Abstract

Optical coherence tomography is capable of imaging the microstructures within tissues. To preserve the transverse resolution at all imaging depths, we implement a dynamic focusing scheme. To improve the quality of images further, a simple speckle reduction scheme is employed which uses the vibration introduced by the translation stage used for axial scanning. A spatial compounding technique is developed based on co-registration followed by an averaging algorithm. We conclude that the degree of speckle reduction achieved is worth the expense of more complicated processing required. © 1989-2012 IEEE.

Item Type: Article
DOI/Identification number: 10.1109/LPT.2013.2266660
Uncontrolled keywords: biomedical imaging, Optical coherence tomography, spatial compounding, speckle noise reduction, Biomedical imaging, Coregistration, Dynamic focusing, Spatial compounding, Speckle noise reduction, Speckle reduction, Translation stage, Transverse resolution, Algorithms, Medical imaging, Noise abatement, Speckle, Optical tomography
Subjects: Q Science > QC Physics
R Medicine > R Medicine (General) > R857.O6 Optical coherence tomography
Divisions: Faculties > Sciences > School of Physical Sciences > Applied Optics Group
Depositing User: Giles Tarver
Date Deposited: 16 Jul 2015 08:50 UTC
Last Modified: 29 May 2019 14:47 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/49332 (The current URI for this page, for reference purposes)
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