眼底摄影
荧光血管造影
计算机科学
血管造影
眼底(子宫)
人工智能
光学相干层析成像
光学相干断层摄影术
糖尿病性视网膜病变
光学
计算机视觉
视网膜
医学
眼科
放射科
物理
内分泌学
糖尿病
作者
Michael Niederleithner,Luís de Sisternes,Heiko Stino,Aleksandra Sedova,Thomas Schlegl,Homayoun Bagherinia,Anja Britten,Philipp Matten,Ursula Schmidt‐Erfurth,Andreas Pollreisz,Wolfgang Drexler,Rainer A. Leitgeb,Tilman Schmoll
标识
DOI:10.1109/tmi.2022.3222638
摘要
Optical Coherence Tomography Angiography (OCTA), a functional extension of OCT, has the potential to replace most invasive fluorescein angiography (FA) exams in ophthalmology. So far, OCTA's field of view is however still lacking behind fluorescence fundus photography techniques. This is problematic, because many retinal diseases manifest at an early stage by changes of the peripheral retinal capillary network. It is therefore desirable to expand OCTA's field of view to match that of ultra-widefield fundus cameras. We present a custom developed clinical high-speed swept-source OCT (SS-OCT) system operating at an acquisition rate 8-16 times faster than today's state-of-the-art commercially available OCTA devices. Its speed allows us to capture ultra-wide fields of view of up to 90 degrees with an unprecedented sampling density and hence extraordinary resolution by merging two single shot scans with 60 degrees in diameter. To further enhance the visual appearance of the angiograms, we developed for the first time a three-dimensional deep learning based algorithm for denoising volumetric OCTA data sets. We showcase its imaging performance and clinical usability by presenting images of patients suffering from diabetic retinopathy.
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