Retinal image analysis software for neurodegenerative disease research

眼科成像对于眼部疾病管理至关重要，并且越来越多地作为一个窗口， 神经退行性疾病和全身性疾病。光学相干断层扫描（OCT）是其最重要的模态，但也 它在互操作性、存储和统一分析方面问题最多。这在很大程度上与不兼容有关 工具和数据格式。放射学的快速发展源于图像数据的DICOM标准化， 促进更多的协作工作，更好的数据洞察力，设备独立性和创新发展， 产生了多个独立的供应商，提供处理和归档解决方案。对于OCT，不存在这样的解决方案 而且，作为直接结果，尽管是护理标准，但临床数据仍然未得到充分利用， 支离破碎开放格式降低了整体成本，最终可以带来更好的患者结果。 该项目将建立第一个商业级的、基于云的、真正的供应商中立的、符合DICOM的图像和 用于眼科OCT的信息存储和处理平台。所提出的系统将带来功能， 互操作性和放射学到眼科学的创新。该项目有以下明确和可实现的 里程碑：1）开发Nebula，一个基于云的，符合DICOM标准的图像存储和存档平台。这将是建立在 安全性是首要考虑因素，并将原生支持患者管理系统。2)添加基于Web的 分析前端到Nebula，针对临床眼科工作流程进行了优化。3)在我们的第一阶段奖励的基础上， 验证并发布基于AI的AMD诊断、OCT血管造影分析和视网膜液定量软件。四、 申请监管部门批准星云的眼科图像存档和通信（PACS）， 液体定量模块。这将允许该系统的临床使用，并作为一个平台，用于各种各样的 眼科和神经学研究。 我们已经收到了研究人员，眼科医生和验光师的建议工作的显着兴趣。而且， 为了实现这些目标，我们组建了一个专家团队来管理、实施、验证和发布该软件。的 就是实现所有提出的目标。

Ophthalmic imaging is of critical importance to ocular disease management and, increasingly, as a window to neurodegenerative and systemic diseases. Optical coherence tomography (OCT) is its most important modality, but also its most problematic in terms of interoperability, storage and unified analyses. Much of this is to do with incompatible instruments and data formats. Rapid advances in radiology resulted from the DICOM standardization of image data, facilitating more collaborative work, better data insight, device independence and innovative developments that today have spawned multiple independent vendors offering processing and archival solutions. For OCT, no such solution exists and, as a direct result, despite being the standard of care, the clinical data remains under-utilized and the research fragmented. Open formats reduce overall costs and can ultimately lead to better patient outcomes. This project will establish the first, commercial grade, cloud-based, truly vendor neutral, DICOM compliant, image and information storage and processing platform for ophthalmic OCT. The proposed system will bring the functionality, interoperability, and innovation of radiology to ophthalmology. The project has the following clear and achievable milestones: 1) Develop Nebula, a cloud-based, DICOM-compliant, image storage and archive platform. This will be built with security as the primary consideration and will natively support patient management systems. 2) Add a web-based analysis front-end to Nebula optimized for clinical ophthalmic workflows. 3) Build on our Phase I award, and implement, validate and release AI-based AMD prognostics, OCT-angiography analytics and retinal fluid quantification software. 4) Apply for regulatory approval for both Nebula’s picture archiving and communications (PACS) for ophthalmology and the fluid quantification module. This will allow for clinical use of the system and serve as a platform for a wide variety of ophthalmic and neurologic research. We have received significant interest in the proposed work from researchers, ophthalmologists, and optometrists. And, toward these ends, we have assembled a team of experts to manage, implement, validate, and release this software. That is, to achieve all the aims presented.