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.

眼科成像对眼部疾病管理至关重要，越来越多 神经退行性和全身性疾病。光学相干断层扫描（OCT）是其最重要的方式，但也是 在互操作性，存储和统一分析方面，它最有问题。这大部分与不兼容有关 仪器和数据格式。放射学的快速进步是由图像数据的DICOM标准化产生的 促进当今的更多协作工作，更好的数据见解，设备独立性和创新的发展 已经产生了多个提供处理和档案解决方案的独立供应商。对于OCT，没有这样的解决方案 并且，作为直接结果，dospite是护理的标准，临床数据仍未得到充分利用，并且研究 分散。开放格式降低了总体成本，并最终会带来更好的患者预后。 该项目将建立第一个，商业等级的基于云的，真正的供应商中性，符合DICOM，图像和图像 眼科OCT的信息存储和处理平台。拟议的系统将带来功能， 互操作性和放射学对眼科的创新。该项目具有以下明确且可实现的 里程碑：1）发展星云，这是一种基于云的，符合DICOM的图像存储和档案平台。这将建立 以安全为主要考虑因素，并将在本地支持患者管理系统。 2）添加基于网络的 分析针对临床眼科工作流的前端对星云进行了优化。 3）建立在我们的第一阶段奖励和实施的基础上 验证并释放基于AI的AMD探针，OCT血管造影分析和视网膜流体定量软件。 4） 申请星云的图片归档和通信（PAC）的监管批准，以进行眼科和 流体数量模块。这将允许该系统的临床使用，并作为各种各样的平台 眼科和神经系统研究。 我们对研究人员，眼科医生和验光师的拟议工作产生了重大兴趣。和， 在这些目的方面，我们组建了一个专家团队来管理，实施，验证和发布此软件。 是，要实现所有呈现的目标。