Retinal Image Enhancement based on the Human Visual System

基于人类视觉系统的视网膜图像增强

• 批准号: 7108742
• 负责人: KAMEL BELKACEM-BOUSSAID
• 金额: $ 5.99万
• 依托单位: KESTREL CORPORATION
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7108742
• 关键词: clinical research; human; image enhancement; mydriatic /cycloplegic

DESCRIPTION (provided by applicant): The objective of this project is to demonstrate a methodology for improving the quality of retinal images taken with standard fundus camera. Kestrel has developed a family of algorithms that perform image retinal enhancement through the implementation of a method that is inspired from human visual system mechanisms. Standard retinal images often suffer from illumination artifacts, large dynamic range in the reflectance, and blurring. In this project, Kestrel will demonstrate its image quality enhancement algorithms on a wide variety of fundus camera systems, including a digital non-mydriatic device, a mydriatic film camera, and a mydriatic mega-pixel instrument. Our objective is to show, through controlled evaluations by ophthalmologists and highly trained ophthalmic technicians, that our processed images result in significant improvements in image quality and which in turn would result in improved sensitivity and specificity for grading or screening retinal images for diseases such as diabetic retinopathy and age-related macular degeneration. The commercial potential of this software is immense. A low-cost means for improving image quality will be of interest to all retinal camera manufactures. The project will show that improvement can be realized for any existing fundus camera, thereby opening up the market to all future and existing instruments.

描述（由申请人提供）：该项目的目的是展示一种提高标准眼底相机拍摄的视网膜图像质量的方法。 Kestrel 开发了一系列算法，通过实施受人类视觉系统机制启发的方法来执行图像视网膜增强。标准视网膜图像经常会出现照明伪影、反射率动态范围大以及模糊等问题。在该项目中，Kestrel 将在各种眼底相机系统上展示其图像质量增强算法，包括数字免散瞳设备、散瞳胶片相机和百万像素散瞳仪器。我们的目标是，通过眼科医生和训练有素的眼科技术人员的控制评估，表明我们处理的图像可以显着改善图像质量，从而提高视网膜图像分级或筛查糖尿病视网膜病变和年龄相关性黄斑变性等疾病的敏感性和特异性。该软件的商业潜力是巨大的。所有视网膜相机制造商都会对提高图像质量的低成本方法感兴趣。该项目将表明任何现有的眼底相机都可以实现改进，从而为所有未来和现有的仪器打开市场。