Rosenfeld Philip J, Cheng Yuxuan, Shen Mengxi, Gregori Giovanni, Wang Ruikang K
Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA.
Department of Bioengineering, University of Washington, Seattle, Washington, USA.
Biomed Opt Express. 2023 Aug 28;14(9):4947-4963. doi: 10.1364/BOE.496080. eCollection 2023 Sep 1.
The use of optical attenuation coefficients (OAC) in optical coherence tomography (OCT) imaging of the retina has improved the segmentation of anatomic layers compared with traditional intensity-based algorithms. Optical attenuation correction has improved our ability to measure the choroidal thickness and choroidal vascularity index using dense volume scans. Algorithms that combine conventional intensity-based segmentation with depth-resolved OAC OCT imaging have been used to detect elevations of the retinal pigment epithelium (RPE) due to drusen and basal laminar deposits, the location of hyperpigmentation within the retina and along the RPE, the identification of macular atrophy, the thickness of the outer retinal (photoreceptor) layer, and the presence of calcified drusen. OAC OCT algorithms can identify the risk-factors that predict disease progression in age-related macular degeneration.
与传统的基于强度的算法相比，在视网膜光学相干断层扫描（OCT）成像中使用光学衰减系数（OAC）改善了解剖层的分割。光学衰减校正提高了我们使用密集体积扫描测量脉络膜厚度和脉络膜血管指数的能力。将传统的基于强度的分割与深度分辨OAC OCT成像相结合的算法已被用于检测由于玻璃膜疣和基底膜沉积物导致的视网膜色素上皮（RPE）隆起、视网膜内和沿RPE的色素沉着位置、黄斑萎缩的识别、视网膜外层（光感受器）层的厚度以及钙化玻璃膜疣的存在。OAC OCT算法可以识别预测年龄相关性黄斑变性疾病进展的风险因素。
