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1.
Figure 6

Figure 6. Thickness Profiles in Normal Subjects from Time Domain OCT Images. From: Thickness Profiles of Retinal Layers by Optical Coherence Tomography Image Segmentation.

Thickness profiles of inner (top) and outer (bottom) retinal layers measured from time domain OCT image, averaged over 15 normal healthy subjects. Error bars represent standard error of the means.

Ahmet Murat Bagci, et al. Am J Ophthalmol. ;146(5):679-687.
2.
Figure 5

Figure 5. Comparison of Automated and Manual Segmentation Methods. From: Thickness Profiles of Retinal Layers by Optical Coherence Tomography Image Segmentation.

Comparison of thickness profiles of inner retinal layers in 15 normal healthy subjects, derived from the automated algorithm (solid line) and manual segmentation, data averaged for 3 observers (symbols).

Ahmet Murat Bagci, et al. Am J Ophthalmol. ;146(5):679-687.
3.
Figure 7

Figure 7. Thickness Profiles in Normal Subjects from Spectral Domain OCT Images. From: Thickness Profiles of Retinal Layers by Optical Coherence Tomography Image Segmentation.

Thickness profiles of inner (top) and outer (bottom) retinal layers measured from spectral domain OCT image, averaged over 10 normal healthy subjects. Error bars represent standard error of the means.

Ahmet Murat Bagci, et al. Am J Ophthalmol. ;146(5):679-687.
4.
Figure 1

Figure 1. Retinal Layer Segmentation Step of A-scan Alignment Applied to a Typical Time Domain OCT Image. From: Thickness Profiles of Retinal Layers by Optical Coherence Tomography Image Segmentation.

Top) Example of a time domain optical coherence tomography (OCT) image obtained in one of the subjects in the study; Bottom) OCT Image after alignment of A-scans.

Ahmet Murat Bagci, et al. Am J Ophthalmol. ;146(5):679-687.
5.
Figure 2

Figure 2. Retinal Layer Segmentation Steps of Gray-level Mapping and Directional Filtering Applied to a Typical Time Domain OCT Image. From: Thickness Profiles of Retinal Layers by Optical Coherence Tomography Image Segmentation.

Top, left) Two functions (G1 and G2) used for gray-level mapping of the image in Fig. 1; Second row, left) Image after gray-level mapping with G1, depicts boundaries between NFL and IPL+GCL, the junction between photoreceptor inner and outer segments (IS/OS) and RPE; Third row, left) Image after gray-level mapping with G2, depicts the remaining boundaries; Top, right) Frequency response of a wedge-shaped 2-D directional filter; Second row, right) Image displayed in panel B after directional filtering; Third row, right) Image displayed in second row, left, after directional filtering. The IS/OS interface appears flat, because of the initial alignment step.

Ahmet Murat Bagci, et al. Am J Ophthalmol. ;146(5):679-687.
6.
Figure 4

Figure 4. Retinal Layer Segmentation Method Applied to a Typical Spectral Domain OCT Image. From: Thickness Profiles of Retinal Layers by Optical Coherence Tomography Image Segmentation.

Top, right) Example of a spectral domain optical coherence tomography (OCT) image. Top, left) Image after A-scan alignment. Second row, left) Image after gray-level mapping depicts boundaries between layers; Second row, right) Image after edge detection for dark to bright transitions with boundary contours overlaid on the original image. Third row, left) Image after gray-level mapping depicts NFL boundaries; Third row, right) Image after edge detection for bright to dark transitions with boundary contours overlaid on the original image. Bottom) Boundary lines were connected; Six retinal layers were segmented.

Ahmet Murat Bagci, et al. Am J Ophthalmol. ;146(5):679-687.
7.
Figure 3

Figure 3. Retinal Layer Segmentation Step of Edge Detection Applied to a Typical Time Domain OCT Image. From: Thickness Profiles of Retinal Layers by Optical Coherence Tomography Image Segmentation.

Top, left) Edge detection following processing steps displayed in Fig 2 with boundary contour overlaid on the original image. Edge detection following processing steps displayed in Fig 2 with boundary contours overlaid on the original image for: Second row, left) bright to dark transitions and Top, right) dark to bright transitions; Second row, right) Boundary contours are displayed on the image following edge detection;; Bottom) Boundary lines were connected and the gaps filled according to the model; Six retinal layers were segmented and labeled. After RPE boundary detection, the image was aligned again according to the RPE boundary to maintain the curvature of the IS/OS interface.

Ahmet Murat Bagci, et al. Am J Ophthalmol. ;146(5):679-687.

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