McLellan Gillian J, Rasmussen Carol A
Department of Ophthalmology & Visual Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53792, USA.
Vet Ophthalmol. 2012 Sep;15 Suppl 2(Suppl 2):13-28. doi: 10.1111/j.1463-5224.2012.01045.x. Epub 2012 Jul 16.
Optical coherence tomography (OCT) is a noninvasive, noncontact imaging technique capable of producing high-resolution images of the retina and optic nerve. These images provide information that is useful for following the progression and/or resolution of posterior segment disease. Rapid advances in OCT technology allow the acquisition of increasingly detailed images, approaching the original goal of providing in vivo histopathology. Increases in scan acquisition speeds and axial resolution enhance the clinical diagnostic value of this modality. Adapting instrumentation designed for use in human patients for use in animals can be challenging. Each species has a unique set of adjustments that need to be made but it is possible to obtain reproducible, high-quality OCT images in a variety of animals, including rodents, dogs, cats, pigs, and monkeys. Deriving quantitative measurements from OCT instruments is hindered by software algorithm errors in detecting the edges of the distinct retinal layers. These segmentation errors occur in scans of human eyes as well in other species and arise with similar frequency with each of the different OCT instruments. Manual segmentation methods to derive optic nerve head and other structural indices have been developed for several species.
光学相干断层扫描（OCT）是一种非侵入性、非接触式成像技术，能够生成视网膜和视神经的高分辨率图像。这些图像提供的信息有助于追踪后段疾病的进展和/或消退情况。OCT技术的快速发展使得能够获取越来越详细的图像，接近提供体内组织病理学的最初目标。扫描采集速度和轴向分辨率的提高增强了这种检查方式的临床诊断价值。将为人类患者设计的仪器用于动物可能具有挑战性。每个物种都有一套独特的调整需要进行，但在包括啮齿动物、狗、猫、猪和猴子在内的各种动物中获得可重复的高质量OCT图像是可能的。检测不同视网膜层边缘时的软件算法错误阻碍了从OCT仪器中获得定量测量结果。这些分割错误在人类眼睛以及其他物种的扫描中都会出现，并且在每种不同的OCT仪器中出现的频率相似。已经为多个物种开发了用于得出视神经乳头和其他结构指标的手动分割方法。
