Figure 1 shows a representative example of the results of automated RPE atrophy detection and quantification by PS-OCT compared to manually delineated GA lesions in SLO and FAF images in a 67-year-old patient.
Figure 1A shows a manually segmented GA area in an SLO image.
Figure 1B reveals a manually bordered GA lesion in an FAF image. A map of the GA lesion generated by PS-OCT is shown, including an overall thickness map of the entire depolarizing tissue present throughout all layers, in
Figure 1C.
Figure 1D represents an automatically generated PS-OCT map of the same lesion, including only depolarizing pixels originating from the topographic RPE location (i.e., the red pixels in the segmented B-scan images [
Fig. 1I]).
Figure 1E displays the respective GA lesion detected and quantified by the PS-OCT software algorithm (binary image). After processing of this image as described earlier, a defined area of RPE atrophy measuring 7.79 mm
2 in size was automatically detected and quantified as illustrated (
Fig. 1E). An overlay of the PS-OCT and SLO image (
Figs. 1A,
1D) was performed as shown in
Figure 1F, demonstrating a reliable topographic correlation.
Figure 1G indicates an overlay of the PS-OCT and FAF image (
Figs. 1B,
1D), revealing good topographic agreement.
Figure 1H represents an en face pseudo-SLO image generated from the 3-D PS-OCT dataset (intensity data).
Figure 1I demonstrates the B-scan corresponding to the yellow line in
Figure 1H. Retinal layers are shown with depolarizing tissue color coded in an overlay. Detected depolarizing structures at the RPE level are represented in red; those from the choroid level are shown in green. The DOPU image reveals a specific identification of the RPE and choroidal pigments due to intrinsic depolarizing properties as shown in
Figure 1J.