[Legacy Report] Automatic Modeling and Classification of Vitreomacular Traction Pathology Stages
Retinal pathologies that are detected too late and/or left untreated can seriously damage eyesight. It is important to monitor the retina and react to any pathological changes. A fast, accurate, non-invasive, and even three-dimensional retina examination is the optical coherence tomography (OCT). We present an approach for modelling changes in retina structure during the progression of vitreomacular traction (VMT) pathology. Presented experiments were performed on volumetric data
acquired from adult patients with the use of Avanti RTvue device. Advanced digital image processing algorithms were subsequently applied to each OCT cross-section (B-scan) for image denoising and flattening, as well as retina layers segmentation. The developed models of VMT stages show a high potential of the proposed method to support ophthalmologists in making appropriate clinical decisions.
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Poznan University of Technology
Automatic Modeling and Classification of Vitreomacular Traction Pathology Stages
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Address:Poznan, Wielkopolskie, Poland