Digital image processing techniques for the detection and quantitative analysis of diagnostic features in retinal images

用于视网膜图像诊断特征检测和定量分析的数字图像处理技术

• 批准号: 43930-2007
• 负责人: Rangayyan, Rangaraj
• 金额: $ 3.06万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2009
• 资助国家: 加拿大
• 起止时间: 2009-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=421368
• 关键词: Digital; image; processing; techniques; detection

Several diseases such as diabetes, arteriosclerosis, and hypertension affect the blood vessels in the retina of the eye. Specifically, the shape, width, and tortuosity of the vessels are modified by the disease processes. Similar changes are also seen in premature infants, in a condition known as retinopathy of prematurity. In addition, images of the retina can reveal the presence of pathological features, such as exudates, microaneurysms, hemorrhages, venous beading, and neovascularization. Quantitative analysis of the architecture of the vasculature of the retina and changes as above could assist in the monitoring of the stage of the disease processes, as well as in evaluating the effects of treatment. We propose to develop digital image processing and pattern analysis techniques for computer-aided detection and quantitative analysis of features as above in order to assist in the assessment of the related pathological processes by opthalmologists and other clinical specialists.

糖尿病、动脉硬化和高血压等几种疾病会影响眼睛视网膜中的血管。具体而言，血管的形状、宽度和迂曲度会因疾病过程而改变。类似的变化也出现在早产儿中，这种情况称为早产儿视网膜病变。此外，视网膜的图像可以揭示病理特征的存在，例如渗出物、微动脉瘤、血管瘤、静脉串珠和新血管形成。定量分析视网膜血管结构和上述变化可以帮助监测疾病过程的阶段，以及评估治疗效果。我们建议开发数字图像处理和模式分析技术，用于计算机辅助检测和定量分析上述特征，以协助眼科医生和其他临床专家评估相关的病理过程。