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Software tools for automated identification and tracking of retinal pathologies

Software tools for automated identification and tracking of retinal pathologies
用于自动识别和跟踪视网膜病变的软件工具
批准号:
461053-2013
负责人:
BrundelRe, Riccardo
金额:
$5.46万
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 2
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
翻译
眼睛实际上是身体健康的窗口。这是因为眼睛提供了直接的观点: (1)影响视力的疾病和(2)影响人的一般健康的疾病。的示例 眼特异性疾病是与视网膜相关的黄斑变性(AMD)--西方国家失明的主要原因。 社会。影响眼睛的全身性疾病是糖尿病视网膜病变(DR)。这两种疾病都能引起明显的 视网膜中血管网络的变化,因此可以通过 非侵入性检眼镜成像。 考虑到这一点,Announcement Health Systems Inc.渥太华的科学家们创造了一种先进的“多光谱” 检眼镜:RHA(TM)。该仪器是加拿大领先的 眼科科学机构:渥太华大学眼科研究所、渥太华健康研究所和 蒙特利尔大学视光学学院。RHA使用专有的光学和软件, 眼睛内部的精确图像。这些图像包含了更大范围的光波长 与标准仪器相比,它被证明是早期发现疾病和 疾病管理。 为了使RHA设备成为更强大的工具,Annidis正在研究先进的图像处理技术, 人工智能算法可以帮助医生分析患者的RHA视网膜图像。这是 NSERC ARD II与阿尔冈昆学院的最终目标。这样的系统将节省医生的时间, 大大增强了对患者疾病的早期检测和跟踪。除了推进将军 眼科科学,该项目将增加一个令人兴奋的新功能,安纳仕的旗舰RHA产品 从而巩固公司在市场上的地位。
英文摘要
The eye literally presents a window into the health of the body. This is because the eye offers direct views of: (1) diseases that affect vision and (2) diseases that affect a person's general health. An example of an eye-specific disease is Age-Related Macular Degeneration (AMD)--the leading cause of blindness in Western societies. A systemic diseases that affects the eye is Diabetic Retinopathy (DR). Both diseases cause visible changes to the blood vessel networks in the retina and can thus be diagnosed, measured, and tracked via non-invasive ophthalmoscopic imaging. With this in mind, Annidis Health Systems Inc. of Ottawa has created an advanced, 'multi-spectral' ophthalmoscope: the RHA(TM). This instrument is the result of a decade's research with Canada's leading ocular science institutions: University of Ottawa Eye Institute, The Ottawa Health Research Institute, and the University of Montreal, School of Optometry. The RHA uses proprietary optics and software to create the most precise images of the interior of the eye. These images contain a much greater range of light wavelengths compared to standard instruments and are proving to be a powerful tool for early detection of disease and for disease management. To make the RHA device an even more powerful tool, Annidis is investigating advanced image-processing and artificial intelligence algorithms that can help doctors analyze the RHA retinal images of their patients. This is the ultimate goal of the NSERC ARD II with Algonquin College. Such a system would save doctor time and greatly enhance the early-detection and tracking of patient diseases. In addition to advancing the general science of ophthalmology, the project will add an exciting new functionality to Annidis' flagship RHA product and thus strengthen the company's position in the market.
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