April 2009
Volume 50, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2009
Discrimination of Conjunctiva and Sclera by Analysis of Local Statistics of Polarization Sensitive Optical Coherence Tomography Images
A. Miyazawa; M. Yamanari; S. Makita; M. Miura; K. Kawana; T. Oshika; Y. Yasuno
Author Affiliations & Notes
  • A. Miyazawa
    Computational Optics Group in the University of Tsukuba, Tsukuba, Japan
    Computational Optics and Ophthalmology Group, Tsukuba, Japan
  • M. Yamanari
    Computational Optics Group in the University of Tsukuba, Tsukuba, Japan
    Computational Optics and Ophthalmology Group, Tsukuba, Japan
  • S. Makita
    Computational Optics Group in the University of Tsukuba, Tsukuba, Japan
    Computational Optics and Ophthalmology Group, Tsukuba, Japan
  • M. Miura
    Computational Optics and Ophthalmology Group, Tsukuba, Japan
    Department of Ophthalmology, Tokyo Medical University, Inashiki, Japan
  • K. Kawana
    Computational Optics and Ophthalmology Group, Tsukuba, Japan
    Department of Ophthalmology, University of Tsukuba, Tsukuba, Japan
  • T. Oshika
    Computational Optics and Ophthalmology Group, Tsukuba, Japan
    Department of Ophthalmology, University of Tsukuba, Tsukuba, Japan
  • Y. Yasuno
    Computational Optics Group in the University of Tsukuba, Tsukuba, Japan
    Computational Optics and Ophthalmology Group, Tsukuba, Japan
  • Footnotes
    Commercial Relationships  A. Miyazawa, None; M. Yamanari, None; S. Makita, None; M. Miura, None; K. Kawana, None; T. Oshika, None; Y. Yasuno, Tomey Corp., C.
  • Footnotes
    Support  JST Grant, JSPS Grant 15760026, 18360029, 18•3827
Investigative Ophthalmology & Visual Science April 2009, Vol.50, 5671. doi:
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      A. Miyazawa, M. Yamanari, S. Makita, M. Miura, K. Kawana, T. Oshika, Y. Yasuno; Discrimination of Conjunctiva and Sclera by Analysis of Local Statistics of Polarization Sensitive Optical Coherence Tomography Images. Invest. Ophthalmol. Vis. Sci. 2009;50(13):5671.

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Abstract

Purpose: : Conjunctiva and sclera are not always discriminated in anterior eye optical coherence tomography (OCT), although they have distinctive tissue properties. In contrast, characteristic pattern can be observed at the sclera in a phase retardation OCT measured by polarization sensitive OCT (PS-OCT). This is because sclera consists of collagen and it has birefringence. We demonstrate a new algorithm which discriminates conjunctiva and sclera based on the local statistics of intensity and phase retardation OCT images.

Methods: : 4 eyes of 4 normal subjects were examined by PS-OCT. Local birefringence was calculated with the kernel thickness of 109 um based on measured Jones matrices. Local mean of intensity (I) and birefringence (BR) within a moving window (39 um x 38 um) were calculated for each pixel. The I and BR (referred to as features) were used to discriminate tissue types. The sets of features, pairs of I and BR, which are referred to as feature vectors, were obtained in 3 reference regions for target tissues (conjunctiva, sclera and uvea). Then the similarities to the target tissues were evaluated for each pixel by using the distances from the pixel to the target tissues in the feature vector space. The similarities to conjunctiva, sclera and uvea were then assigned to red, blue, and green color channels of the final image, respectively.

Results: : In 4 of 4 cases, sclera and conjunctiva were clearly discriminated as shown in the figure. Although the specificity is low, the part of uvea was discriminated from the sclera and conjunctiva. It was found that the blue region had higher BR than red region. This corresponds to the existence of collagen fibers in sclera.

Conclusions: : Conjunctiva and sclera were discriminated by analysis of local statistics of PS-OCT images. This new algorithm is useful to discriminate tissues of PS-OCT images not by anatomical tissue structures but by direct tissue properties.

Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • conjunctiva • sclera 
© 2009, The Association for Research in Vision and Ophthalmology, Inc., all rights reserved. Permission to republish any abstract or part of an abstract in any form must be obtained in writing from the ARVO Office prior to publication.
Copyright © 2025 Association for Research in Vision and Ophthalmology.
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