Retinal image analysis software for neurodegenerative disease research

眼科成像对于眼部疾病的管理至关重要，并且越来越多地成为 神经退行性和全身性疾病。光学相干层析成像(OCT)是其最重要的方式，但也是 它在互操作性、存储和统一分析方面问题最大。这在很大程度上与不兼容有关 仪器和数据格式。由于图像数据的DICOM标准化导致了放射学的快速进步， 促进当今更协作的工作、更好的数据洞察、设备独立性和创新开发 催生了多家提供处理和归档解决方案的独立供应商。对于OCT，不存在这样的解决方案 直接的结果是，尽管临床数据是护理的标准，但临床数据仍然没有得到充分利用，研究 支离破碎。开放格式降低了总体成本，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、符合DICOM的映像和 眼科OCT信息存储与处理平台。建议的系统将带来以下功能， 互操作性，以及从放射科到眼科的创新。该项目具有以下明确和可实现的目标 里程碑：1)开发星云，这是一个基于云的、符合DICOM标准的图像存储和归档平台。这将是一座 将安全性作为首要考虑因素，并将本机支持患者管理系统。2)添加基于Web的 针对临床眼科工作流程优化的前端到星云分析。3)以我们的第一阶段奖励为基础，并实施 验证和发布基于AI的AMD预后、OCT血管造影分析和视网膜液体定量软件。4) 申请监管部门批准星云公司的眼科图像存档和通信(PAC)以及 流体定量模块。这将允许该系统的临床使用，并作为一个平台，用于各种 眼科和神经学研究。 我们已经收到了研究人员、眼科医生和验光师对这项拟议工作的极大兴趣。和, 为此，我们组建了一个专家团队来管理、实施、验证和发布该软件。那 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.