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Results: 5

1.
Figure 2. 

Figure 2. . From: Comparison of Drusen Area Detected by Spectral Domain Optical Coherence Tomography and Color Fundus Imaging.

Scatterplot representing the relationship between drusen areas measured on color photos and drusen areas measured using the SD-OCT automated algorithm (5-mm circle only).

Zohar Yehoshua, et al. Invest Ophthalmol Vis Sci. 2013 April;54(4):2429-2434.
2.
Figure 1

Figure 1. From: Comparison of Drusen Area Detected by Spectral Domain Optical Coherence Tomography and Color Fundus Imaging.

Registration of the SD-OCT fundus image on a color fundus photo with corresponding registration of the 3- and 5-mm circles centered on the fovea. (A) Registration of the OCT fundus image to the color fundus image. The foveal center is marked by the red cross on the OCT fundus image and the 3- and 5-mm white circles are centered on the foveal center. (B) Color fundus photo with the registered 3- and 5-mm circles. (C) The 3- and 5-mm circles used by the reading center for the manual outlining of drusen.

Zohar Yehoshua, et al. Invest Ophthalmol Vis Sci. 2013 April;54(4):2429-2434.
3.
Figure 4. 

Figure 4. . From: Comparison of Drusen Area Detected by Spectral Domain Optical Coherence Tomography and Color Fundus Imaging.

An example of manually measured drusen from the color fundus photo having a larger area than drusen measured using the automated SD-OCT algorithm. (A) Color fundus photo with 3- and 5-mm circles centered on the fovea. (B) Manual outlines of drusen performed by the reading center (drusen area 3.03 mm2 [3 mm], 4.13 mm2 [5 mm]). (C) SD-OCT drusen map with the 3- and 5-mm circles centered on the fovea (drusen area 1.85 mm2 [3 mm], 1.88 mm2 [5 mm]). (D) Overlay of the automated and manual drusen maps showing that the SD-OCT algorithm did not identify the majority of the hypopigmented areas on the color fundus image outlined as drusen by the graders.

Zohar Yehoshua, et al. Invest Ophthalmol Vis Sci. 2013 April;54(4):2429-2434.
4.
Figure 3. 

Figure 3. . From: Comparison of Drusen Area Detected by Spectral Domain Optical Coherence Tomography and Color Fundus Imaging.

An example of good agreement between drusen areas manually measured on a color fundus photo and automatically measured by the SD-OCT algorithm. (A) Color fundus photo with 3- and 5-mm circles. (B) Manual drusen outlines performed by the reading center (drusen area 3.46 mm2 [3 mm], 5.65 mm2 [5 mm]). (C) Drusen map obtained using the automated algorithm (drusen area 3.47 mm2 [3 mm], 5.14 mm2 [5 mm]). (D) Overlay of the automated and manual drusen maps showing that SD-OCT algorithm did not identify the majority of the hypopigmented areas on the color fundus image outlined as drusen by the graders.

Zohar Yehoshua, et al. Invest Ophthalmol Vis Sci. 2013 April;54(4):2429-2434.
5.
Figure 5. 

Figure 5. . From: Comparison of Drusen Area Detected by Spectral Domain Optical Coherence Tomography and Color Fundus Imaging.

An example of manually measured drusen from the color fundus photo having a smaller area than drusen measured using the automated SD-OCT algorithm. (A) Color fundus photo with 3- and 5-mm circles centered on the fovea. (B) Manual outlines of drusen performed by the reading center (drusen area 0.86 mm2 [3 mm], 2.04 mm2 [5 mm]). Note, in the absence of stereoscopic information, poorly demarcated broad areas of depigmentation within the 3-mm circle, could not be identified as drusen by the graders. (C) SD-OCT drusen map with the 3- and 5-mm circles centered on the fovea (drusen area 3.59 mm2 [3 mm], 5.34 mm2 [5 mm]). The cross-hairs identify area on the drusen map where the RPE is elevated and does not correlate with typical drusen seen on the color photo. (D) Overlay of the automated and manual drusen maps showing that the SD-OCT algorithm identified a larger area of drusen and RPE elevation than the areas identified on the color fundus image outlined by the graders. (E) SD-OCT B-scan through the bottom area of disagreement (black cross-hairs). (F) SD-OCT B-scan through the top area of disagreement (white cross-hairs).

Zohar Yehoshua, et al. Invest Ophthalmol Vis Sci. 2013 April;54(4):2429-2434.

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