Paper
19 February 2009 Discrimination of conjunctiva and sclera using texture analysis of polarization sensitive optical coherence tomography images
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Abstract
Conjunctiva and sclera are not always discriminated in anterior eye optical coherence tomography (OCT) images, although they have distinctive tissue properties. In contrast, characteristic pattern can be observed at the sclera in a phase retardation OCT image measured by polarization sensitive OCT (PS-OCT). This is because sclera consists of collagen and it has birefringence. We developped a new algorithm which discriminates conjunctiva and sclera based on the local statistics of intensity and phase retardation OCT images. In 4 of 4 cases, conjunctiva and sclera were discriminated. This new algorithm is useful to discriminate tissues of PS-OCT images not by anatomical tissue structures but by direct tissue properties.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arata Miyazawa, Masahiro Yamanari, and Yoshiaki Yasuno "Discrimination of conjunctiva and sclera using texture analysis of polarization sensitive optical coherence tomography images", Proc. SPIE 7168, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIII, 716816 (19 February 2009); https://doi.org/10.1117/12.808749
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KEYWORDS
Optical coherence tomography

Sclera

Polarization

Tissues

Algorithm development

Biomedical optics

Coherence (optics)

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