OPHTHALMIC IMAGE ANALYSIS SYSTEM

眼科图像分析系统

• 批准号: 3520206
• 负责人: WILLIAM M HART
• 金额: $ 16.9万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-05-26 至 1990-05-25
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3520206
• 关键词: angiography; biomedical equipment purchase; biomedical equipment resource; eye disorder diagnosis; eye fundus photography; image processing

A group of investigators in experimental Ophthalmology will use a shared instrument system for automated digital analysis of optical images obtained from the eyes of experimental subjects. Images will be captured from clinical fundus cameras equipped with both conventional photographic devices as well as real-time, solid-state digital cameras. Conventional photographic film images will be transferred into the digital domain through a high resolution, high dynamic range digital camera. Image types will include: conventional ocular fundus views, both monochromatic and colored; simultaneous stereo images of the optic disc and fundus; and fluorescein angiographic retinal images, both conventional and simultaneous stereo. Real time angiographic images will be digitally captured, buffered temporarily in high-speed semiconductor memory, and then transferred to a microcomputer system for archival storage. All images will be stored locally on magnetic media, and automated image analysis algorithms will be used to extract salient characteristics. Analyses will include de- tection of chronological changes in topographic features of neural, retinal, vascular and choroidal tissues of the eye. Stereo photogrammetric methods will be used to estimate volumetric sizes and changes in size of choroidal tumors and to measure regional blood flow of the optic disc and retina by dye-dilution calculations from fluorescein angiographic data recorded in simultaneous stereo images. Connection of the system to a campus- wide communications network will allow sharing of image analysis data and software with collaborating laboratories within the university.

一组实验眼科的研究人员将使用一种 用于光学自动数字分析的共享式仪器系统 从实验对象的眼睛获得的图像。图片 将从配备了这两个设备的临床眼底摄像头捕捉到 传统的照相设备以及实时、固态 数码相机。传统的照相胶片图像将是 通过高分辨率、高分辨率转换到数字域 动态范围数码相机。图像类型将包括： 传统的眼底观，包括单色和彩色； 视盘和眼底的同时立体图像；以及 荧光素血管造影术视网膜成像，包括常规和 同步立体声。实时血管造影图像将是 以数字方式捕获，在高速中临时缓冲 半导体存储器，然后传输到微型计算机 用于档案存储的系统。所有图像都将本地存储在 磁性介质和自动图像分析算法将 用于提取显著特征。分析将包括去掉 保护神经地形图特征的时序变化， 眼睛的视网膜、血管和脉络膜组织。立体声 将使用摄影测量方法来估计体积大小 脉络膜肿瘤的大小变化和局部测量 染料稀释法测定视盘和视网膜的血流 根据记录的荧光素血管造影数据计算 同步立体图像。将系统连接到园区- 广泛的通信网络将允许共享图像分析 数据和软件，与 上大学。