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Analysis of posterior retinal layers in spectral optical coherence tomography images of the normal retina and retinal pathologies
We present a computationally efficient, semiautomated method for analysis of posterior retinal layers in three-dimensional (3-D) images obtained by spectral optical coherence tomography (SOCT). The me...
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Evaluation of potential image acquisition pitfalls during optical coherence tomography and their influence on retinal image segmentation
The development of improved segmentation algorithms for more consistently accurate detection of retinal boundaries is a potentially useful solution to the limitations of existing optical coherence tom...

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Enhancing the signal-to-noise ratio in ophthalmic optical coherence tomography by image registration—method and clinical examples

J. Biomed. Opt., Vol. 12, 041208 (2007); doi:10.1117/1.2772879

Published 23 August 2007
Thomas Martini Jørgensen and Jakob Thomadsen
Technical University of Denmark, Riso National Laboratory, Optics and Plasma Research Department, Roskilde, Denmark

Ulrik Christensen, Wael Soliman, and Birgit Sander
University of Copenhagen, Glostrup Hospital, Department of Ophthalmology, Copenhagen, Denmark
Optical coherence tomography (OCT) has already proven an important clinical tool for imaging and diagnosing retinal diseases. Concerning the standard commercial ophthalmic OCT systems, speckle noise is a limiting factor with respect to resolving relevant retinal features. We demonstrate successful suppression of speckle noise from mutually aligning a series of in vivo OCT recordings obtained from the same retinal target using the Stratus system from Humphrey-Zeiss. Our registration technique is able to account for the axial movements experienced during recording as well as small transverse movements of the scan line from one scan to the next. The algorithm is based on a regularized shortest path formulation for a directed graph on a map formed by interimage (B-scan) correlations. The resulting image enhancement typically increases the contrast-to-noise ratio (CNR) with a factor of three or more and facilitates segmentation and quantitative characterization of pathologies. The method is currently successfully being applied by medical doctors in a number of specific retinal case studies.

©2007 Society of Photo-Optical Instrumentation Engineers
History: Received 4 November 2006; revised 16 February 2007; accepted 21 February 2007; published 23 August 2007
DOI Link: http://dx.doi.org/10.1117/1.2772879
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KEYWORDS and PACS

Keywords
PACS
  • 87.63.Lk
    Visible radiation: diaphanography, transillumination, laser imaging in medicine
  • 87.19.Xx
    Diseases
  • 42.66.Ct
    Anatomy and optics of eye
  • 87.57.Gg
    Medical image reconstruction and registration
  • 87.57.Ce
    Medical image quality: contrast, resolution, noise, etc
  • YEAR: 2007

JOURNAL DATA

ISSN:
1083-3668 (print)   1560-2281 (online)
Publisher:
AIP is a member of CrossRef SPIE

REFERENCES (28)

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