Presentation on theme: "Cirrus HD-OCT. Small footprint and 90 degree orientation Mouse driven alignment Auto patient recall Repeat scan function Precise registration for clinical."— Presentation transcript:
Cirrus HD-OCT. Small footprint and 90 degree orientation Mouse driven alignment Auto patient recall Repeat scan function Precise registration for clinical confidence Advanced optics for scanning of patients with cataracts or pupils as small as 2.5mm
CIRRUS HD-OCT Features provide clinical utility and increase efficiency: RNFL Thickness Analysis RNFL Normative Data 3D Volume Rendering Custom 5-line Raster Scan High Definition Cross Scan Segmentation Editing Tool Precise registration
PreciseRegistration: Real Time Registration between OCT and LSO Fundus Visit-to-visit Registration using the LSO overlay from previous visit Optic Disc Registration automatically centers the RNFL TSNIT circle around the disc
Glaucoma RNFL thickness analysis: Center of disc is automatically identified for precise registration and repeatability RNFL thickness display is of a 1.73mm radius circle around the disc TSNIT graph is compared to normative database
The RNFL deviation map is overlaid on the OCT fundus image to illustrate precisely where RNFL thickness deviates from a normal range The RNFL thickness map shows the patterns and thickness of the nerve fiber layer.
3D Volume Rendering
Using the mouse, you can Fly through, rotate the 3D image
3D Volume Adjustment controls allow manipulation of cube image. Here the cube has been peeled back to reveal the RPE layer
Here a slice, or C-plane, of the inner retina is revealed.
Custom 5line – RasterScan Can be adjusted for orientation,Rotation, length of lines and height of scan area
The Tissue Layer image allows you to isolate and visualize a layer of the retina. The thickness and placement of the layer are adjustable. This provides a virtual dissection of the retina by extracting the layer of interest
Cirrus HD-OCT. reveals HD layer maps ILM layer map RPE layer map HD Thickness Map Tissue layer map HD Thickness Map ILM Layer Map RPE Layer Map