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: 7340562
• 负责人: KAMEL BELKACEM-BOUSSAID
• 金额: $ 10.01万
• 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/7340562
• 关键词: Age related macular degeneration; Algorithms; Applications Grants; Blur; Clinic; Clinical; Clinical Research; Color; Computer software; Condition; Data; Development; Devices; Diabetic Retinopathy; Diagnostic; Disease; Doctor of Philosophy; Electronics; Entropy; Environment; Evaluation; Family; Feedback; Film; Frequencies; Fundus; Future; Goals; Gray unit of radiation dose; Human; Image; Image Enhancement; Imaging technology; Lead; Lighting; Marketing; Methodology; Methods; Metric; Morphologic artifacts; Mydriatics; Nature; Noise; Numbers; Ophthalmologist; Optics; Patients; Phase; Pigmentation physiologic function; Process; Psychophysiology; Pupil; Range; Retinal; Retinal Diseases; Screening procedure; Sensitivity and Specificity; Source; Staging; Standards of Weights and Measures; Structure; System; Techniques; Technology; Testing; Time; Today; Training; Visual system structure; absorption; adaptive optics; base; blind; clinical Diagnosis; clinically significant; concept; conditioning; cost; digital; experience; image processing; improved; instrument; interest; prototype; research study; size

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 methods that are 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 ophtalmic 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.

这个计画的目的是要证明一种方法来改善视网膜影像的品质 使用标准眼底照相机拍摄。Kestrel开发了一系列算法， 通过实施一种受人类视觉系统启发的方法来增强 机制等标准视网膜图像通常遭受照明伪影、大的动态范围、以及高分辨率。 反射率和模糊。 在这个项目中，Kestrel将在各种眼底上展示其图像质量增强算法 照相机系统，包括数字非散瞳装置、散瞳胶片照相机和散瞳放大器， 像素仪器我们的目的是通过眼科医生的控制评估和高度评价， 经过培训的眼科技术人员，我们处理的图像导致图像质量的显着改善 这又将导致对视网膜图像进行分级或筛选的灵敏度和特异性的提高 用于治疗糖尿病视网膜病变和老年性黄斑变性等疾病。 这个软件的商业潜力是巨大的。用于改善图像质量的低成本手段将是 所有视网膜相机制造商都感兴趣。该项目将表明，改善可以实现任何 现有眼底照相机，从而为所有未来和现有仪器打开市场。