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Proceedings Paper

Integration of spectral domain optical coherence tomography with microperimetry generates unique datasets for the simultaneous identification of visual function and retinal structure in ophthalmological applications
Author(s): Peter Koulen; Gary Gallimore; Ryan D. Vincent; Nelson R. Sabates; Felix N. Sabates
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Paper Abstract

Conventional perimeters are used routinely in various eye disease states to evaluate the central visual field and to quantitatively map sensitivity. However, standard automated perimetry proves difficult for retina and specifically macular disease due to the need for central and steady fixation. Advances in instrumentation have led to microperimetry, which incorporates eye tracking for placement of macular sensitivity values onto an image of the macular fundus thus enabling a precise functional and anatomical mapping of the central visual field. Functional sensitivity of the retina can be compared with the observed structural parameters that are acquired with high-resolution spectral domain optical coherence tomography and by integration of scanning laser ophthalmoscope-driven imaging. Findings of the present study generate a basis for age-matched comparison of sensitivity values in patients with macular pathology. Microperimetry registered with detailed structural data performed before and after intervention treatments provides valuable information about macular function, disease progression and treatment success. This approach also allows for the detection of disease or treatment related changes in retinal sensitivity when visual acuity is not affected and can drive the decision making process in choosing different treatment regimens and guiding visual rehabilitation. This has immediate relevance for applications in central retinal vein occlusion, central serous choroidopathy, age-related macular degeneration, familial macular dystrophy and several other forms of retina related visual disability.

Paper Details

Date Published: 1 June 2011
PDF: 5 pages
Proc. SPIE 8091, Optical Coherence Tomography and Coherence Techniques V, 809120 (1 June 2011); doi: 10.1117/12.889732
Show Author Affiliations
Peter Koulen, Univ. of Missouri (United States)
Gary Gallimore, Univ. of Missouri (United States)
Ryan D. Vincent, Univ. of Missouri (United States)
Nelson R. Sabates, Univ. of Missouri (United States)
Felix N. Sabates, Univ. of Missouri (United States)

Published in SPIE Proceedings Vol. 8091:
Optical Coherence Tomography and Coherence Techniques V
Rainer A. Leitgeb; Brett E. Bouma, Editor(s)

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