First Author: M.Pettenkofer GERMANY
Co Author(s): A. Nasseri M. Zhou C. Lohmann
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To investigate retinal surface detection and precision using intraoperative OCT imaging. The precise tracking of the individual retinal layers may be helpful to achieve a higher reliability and safety in macular surgery due to a higher control level of intraoperative actions such as subretinal injections, epiretinal membrane peel and macular hole surgery.
Klinikum rechts der Isar der TU München
20 eyes of 20 patients with various retinal diseases such as full thickness macular hole, macular pucker, diabetic retinopathy or vitreous haemorrhage were randomly included in this study. All images were obtained from Zeiss Lumera 700 Rescan Microscope. Surface pixels were detected by image processing methods, using a tracking algorithm. For each eye 20 detections were performed to evaluate the repeatability of the method.
The mean detected surface precision was shown as 12.1104 pixels. The minimum tracking error was investigated to be 6.00 pixels and the maxium 32.00 pixels.
In the present study we introduced a tracking algorithm for retinal surface detection using intraoperative OCT images. Our method could be applicable for current clinical routines as well as future vitreoretinal diagnosis and treatments. It is the first step towards future technologies in retinal tracking useable for subretinal injection, intraoperative retinal vein detection and tracking such as intraoperative macular hole analysis.