Three-dimensional real-time optical coherence tomography for retinal disease diagnosis and treatment

光学相干断层扫描(OCT)已成为视网膜成像的金标准，并经常用于多种疾病的诊断，包括老年性黄斑变性和糖尿病视网膜病变。虽然目前的OCT系统能够同时提供视网膜的结构和血管造影(称为OCT-A)图像，但当前的扫描速度可能会有些慢，导致运动伪影，从而使图像变得模糊，导致错误或漏诊。为了解决这个问题，我们开发了一种OCT-A算法，能够实时进行视网膜的面部成像，允许在没有运动伪影的情况下捕获整个组织。这既解决了整体运动的问题，又为视网膜OCT-A成像在神经学和精神病学中的应用开辟了新的探索途径。在这项提案中，我们将研究这种OCT-A视网膜成像的潜在市场需求，并确定利用这些新算法来改进和扩展OCT和OCT-A的诊断能力的系统走向商业化的潜力。

Optical coherence tomography (OCT) has become a gold-standard in retinal imaging, and is often used in the diagnosis of numerous conditions, including age-related macular degeneration and diabetic retinopathy. While current OCT systems are able to provide both structural and angiography (known as OCT-A) images of the retina, current scanning can be somewhat slow, leading to motion artefacts that can obscure images and lead to improper or missed diagnosis.To solve this problem, we have developed a OCT-A algorithm capable of conducting en face imaging of the retina in real-time, allowing for the entire tissue to be captured without motion artefacts. This both solves the problem of bulk motion, and potentially opens new avenues of exploration for applications of retinal OCT-A imaging in neurology and psychiatry. In this proposal, we will examine the potential market need for such OCT-A imaging of the retina, and determine the potential for a path forward towards commercialization of systems leveraging these new algorithms to improve and expand upon the diagnostic capabilities of OCT and OCT-A.