SBIR Phase II: Non-Invasive Retinal Oximetry for Detecting Diabetic Retinopathy prior to Structural Damage
SBIR II 期:无创视网膜血氧测定法用于在结构损伤之前检测糖尿病视网膜病变
基本信息
- 批准号:1853245
- 负责人:
- 金额:$ 75万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-03-01 至 2024-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This SBIR Phase II project demonstrates and clinically validates a novel, non-invasive imaging technology to detect diabetic retinopathy before structural damage occurs. Diabetic retinopathy is among the leading causes of vision loss in the world. This devastating complication of both type I and II diabetes results in structural damage to the sensitive vasculature of the retina. Once structural damage is inflicted, it is difficult, if not impossible, to ameliorate it. Small changes in the retinal vasculature's oxygen saturation have been shown to be a reliable indicator of diabetic retinopathy before structural damage occurs. Since there is no clinical non-invasive technology capable of detecting these small functional changes, a major need exists for new retinal oximetry technologies. Diabetic retinopathy affects 200 million people worldwide. The American Diabetes Association reports that the cost of diabetes in the US in 2012 was $245 billion, including $69 billion in reduced productivity and $176 billion in medical costs. Since 40% of diabetics are anticipated to develop diabetic retinopathy, the estimated economic cost of diabetic retinopathy is $98 billion annually. By mitigating the occurrence of diabetic retinopathy, this technology will help reduce the cost of diabetic retinopathy treatment, its overall economic burden, and help save the vision of millions of people around the world.The primary technical innovation behind the proposed technology is its use of a novel physics-based model to overcome the challenges of high-resolution retinal imaging. These challenges include the multi-layered structure of the retina, absorbance dynamics, and the need to produce an image in one snapshot to reduce motion artifacts. Compared with existing methods based on structural imaging, the successful outcome of this project will become a commercial technology-of-choice for ophthalmologists around the world, enabling cost-effective detection of early stage diabetic retinopathy or pre-retinopathy. The development of the technology proceeds through iterative optimization between laboratory and real-use environments to generate robust, validated data. Specifically, in Phase II, the research objectives of the project are pursued in two parallel tracks: 1) refinement of the core imaging system, and 2) validation using model and human subjects in a clinical environment. The outcome of this project will be an easy-to-use, reliable diagnostic imaging and monitoring technology with proven clinical utility in detecting the onset of diabetic retinopathy based on functional properties, before structural damage has occurred in the patient.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该SBIR第二阶段项目展示并临床验证了一种新颖的非侵入性成像技术,可在结构损伤发生之前检测糖尿病视网膜病变。糖尿病视网膜病变是世界上视力丧失的主要原因之一。I型和II型糖尿病的这种破坏性并发症导致视网膜敏感血管的结构损伤。一旦造成结构性损伤,即使不是不可能,也很难改善它。视网膜血管血氧饱和度的微小变化已被证明是结构性损伤发生之前糖尿病视网膜病变的可靠指标。由于没有能够检测这些小的功能变化的临床非侵入性技术,因此主要需要新的视网膜血氧定量技术。糖尿病视网膜病变影响全球2亿人。美国糖尿病协会报告称,2012年美国糖尿病的成本为2450亿美元,其中包括690亿美元的生产力下降和1760亿美元的医疗成本。由于预计40%的糖尿病患者会发生糖尿病视网膜病变,因此每年糖尿病视网膜病变的估计经济成本为980亿美元。通过减少糖尿病视网膜病变的发生,这项技术将有助于降低糖尿病视网膜病变治疗的成本,其整体经济负担,并帮助挽救世界各地数百万人的视力。拟议技术背后的主要技术创新是它使用一种新的基于物理的模型来克服高分辨率视网膜成像的挑战。这些挑战包括视网膜的多层结构、吸收动力学以及需要在一个快照中产生图像以减少运动伪影。与现有的基于结构成像的方法相比,该项目的成功结果将成为世界各地眼科医生的首选商业技术,从而能够经济有效地检测早期糖尿病视网膜病变或视网膜病变前期。该技术的开发通过实验室和实际使用环境之间的迭代优化进行,以生成强大的,经过验证的数据。具体而言,在第二阶段,该项目的研究目标是在两个平行的轨道上进行的:1)核心成像系统的改进,以及2)在临床环境中使用模型和人类受试者进行验证。该项目的成果将是一种易于使用、可靠的诊断成像和监测技术,在患者发生结构性损伤之前,根据功能特性检测糖尿病视网膜病变的发作,具有已证实的临床实用性。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ali Basiri其他文献
Rare cases of carnivore mortality due to electric power distribution lines in Iran
伊朗因配电线导致食肉动物死亡的罕见案例
- DOI:
10.1080/21658005.2018.1520019 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
M. Kolnegari;A. Qashqaei;M. Hazrati;Ali Basiri;Mohammad Mojaver Tork Abad;M. Ferrer - 通讯作者:
M. Ferrer
A Platform for Automating Chaos Experiments
自动化混沌实验平台
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Aaron Blohowiak;Ali Basiri;L. Hochstein;Casey Rosenthal - 通讯作者:
Casey Rosenthal
A new committee to address the threats of power grids to birds in Iran
伊朗成立新委员会,解决电网对鸟类的威胁
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
M. Kolnegari;Etezad Moghimi;Ali Basiri;A. Qashqaei;M. Hazrati - 通讯作者:
M. Hazrati
Automating Chaos Experiments in Production
生产中的自动化混沌实验
- DOI:
10.1109/icse-seip.2019.00012 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Ali Basiri;L. Hochstein;Nora Jones;Haley Tucker - 通讯作者:
Haley Tucker
Ali Basiri的其他文献
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{{ truncateString('Ali Basiri', 18)}}的其他基金
SBIR Phase I: Non-Invasive Retinal Oximetry for Detecting Diabetic Retinopathy prior to Structural Damage
SBIR 第一阶段:无创视网膜血氧测定法用于在结构损伤之前检测糖尿病视网膜病变
- 批准号:
1647279 - 财政年份:2016
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
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