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7 March 20063D OCT imaging in clinical settings: toward quantitative measurements of retinal structures
Robert J. Zawadzki,1 Alfred R. Fuller,1 Mingtao Zhao,2 David F. Wiley,1 Stacey S. Choi,1 Bradley A. Bower,2 Bernd Hamann,1 Joseph A. Izatt,2 John S. Werner1
1Univ. of California/Davis (United States) 2Duke Univ. (United States)
The acquisition speed of current FD-OCT (Fourier Domain - Optical Coherence Tomography) instruments allows rapid
screening of three-dimensional (3D) volumes of human retinas in clinical settings. To take advantage of this ability
requires software used by physicians to be capable of displaying and accessing volumetric data as well as supporting
post processing in order to access important quantitative information such as thickness maps and segmented volumes.
We describe our clinical FD-OCT system used to acquire 3D data from the human retina over the macula and optic
nerve head. B-scans are registered to remove motion artifacts and post-processed with customized 3D visualization and
analysis software. Our analysis software includes standard 3D visualization techniques along with a machine learning
support vector machine (SVM) algorithm that allows a user to semi-automatically segment different retinal structures
and layers. Our program makes possible measurements of the retinal layer thickness as well as volumes of structures of
interest, despite the presence of noise and structural deformations associated with retinal pathology. Our software has
been tested successfully in clinical settings for its efficacy in assessing 3D retinal structures in healthy as well as
diseased cases. Our tool facilitates diagnosis and treatment monitoring of retinal diseases.
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Robert J. Zawadzki, Alfred R. Fuller, Mingtao Zhao, David F. Wiley, Stacey S. Choi, Bradley A. Bower, Bernd Hamann, Joseph A. Izatt, John S. Werner, "3D OCT imaging in clinical settings: toward quantitative measurements of retinal structures," Proc. SPIE 6138, Ophthalmic Technologies XVI, 613803 (7 March 2006); https://doi.org/10.1117/12.647567