Retinal image analysis software for neurodegenerative disease research

用于神经退行性疾病研究的视网膜图像分析软件

• 批准号: 10255740
• 负责人: Daniel Russakoff
• 金额: $ 98.86万
• 依托单位: VOXELERON, LLC
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-02-01 至 2023-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10255740
• 关键词: Affect; Alzheimer' s Disease; American; Angiography; Architecture; Archives; Area; Award; Back; Caring; Clinic; Clinical; Clinical Data; Clinical Research; Clinical Trials; Communication; Computer software; Custom; Data; Data Pooling; Data Set; Databases; Development; Devices; Diabetic Retinopathy; Digital Imaging and Communications in Medicine; Disease; Disease Management; Disease Outcome; Glaucoma; Goals; Image; Image Analysis; Imagery; Information Storage; Lead; Liquid substance; Location; Manufacturer Name; Modality; Neurodegenerative Disorders; Neurologic; Ocular Pathology; Online Systems; Ophthalmologist; Ophthalmology; Optical Coherence Tomography; Optometrist; Parkinson Disease; Patient-Focused Outcomes; Patients; Phase; Picture Archiving and Communication System; Radiologic Picture Archiving; Radiology Specialty; Research; Research Personnel; Retina; Safety; Scanning; Secure; Security; Speed; Standardization; Structure; System; Systemic disease; Systems Analysis; Telemedicine; Testing; Vendor; Visualization; Work; base; cloud based; cost; data format; design; drug development; image archival system; improved; information processing; innovation; insight; instrument; interest; interoperability; longitudinal analysis; nebula; next generation; patient health information; prognostic; quality assurance; radiologist; research and development; retinal imaging; search engine; segmentation algorithm; software systems; standard of care; tool; web app

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.

眼科成像对于眼部疾病管理至关重要，并且越来越多地成为了解眼科疾病的窗口。 光学相干断层扫描 (OCT) 是其最重要的模式，也是其最重要的模式。 其最大的问题在于互操作性、存储和统一分析，这很大程度上与不兼容有关。 放射学的快速进步源于图像数据的 DICOM 标准化， 促进当今更多的协作工作、更好的数据洞察、设备独立性和创新发展 已经催生了多个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。 并且，作为直接结果，尽管是护理标准，但临床数据仍未得到充分利用，并且研究 开放的形式降低了总体成本，并最终可以带来更好的患者治疗效果。 该项目将建立第一个商业级、基于云、真正供应商中立、符合 DICOM 标准的图像和 眼科OCT信息存储和处理平台所提议的系统将带来以下功能： 放射学与眼科的互操作性和创新该项目具有以下明确且可实现的目标。 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。 2）添加基于Web的 针对临床眼科工作流程优化的 Nebula 分析前端 3) 以我们的第一阶段奖项为基础，并实施， 验证并发布基于人工智能的 AMD 预测、OCT 血管造影分析和视网膜液体量化软件 4)。 申请监管机构批准 Nebula 的眼科图片存档和通信 (PACS) 以及 这将允许该系统的临床使用并作为各种平台。 眼科和神经病学研究。 我们收到了研究人员、眼科医生和验光师对拟议工作的浓厚兴趣。 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。 就是实现所提出的所有目标。