用于糖尿病视网膜病变筛查变化可视化的图像配准与减法运算。

Image registration and subtraction for the visualization of change in diabetic retinopathy screening.

作者信息

McRitchie Ian N, Hart Patricia M, Winder R John

机构信息

Health and Rehabilitation Sciences Research Institute, University of Ulster, Shore Road, Newtownabbey BT37 0QB, Northern Ireland, UK.

出版信息

Comput Med Imaging Graph. 2006 Apr;30(3):139-45. doi: 10.1016/j.compmedimag.2006.01.002. Epub 2006 May 2.

DOI:10.1016/j.compmedimag.2006.01.002

PMID:16631349

Abstract

Diabetic retinopathy (DR) is a leading cause of blindness in people of working age in developed countries. DR is characterized by lesions of the retinal microvasculature. This paper describes a technique for visualizing the changes which occur in retinal pathology over a 1 year interval. Pairs of retinal images of the same eye were acuired 12 months apart within a DR screening programme. The images were normalized, registered and subtracted to generate a contrast-enhanced difference image displaying changes in retinal appearance. The normalization factor and registration error were quantified for 104 pairs of retinal images.

摘要

糖尿病视网膜病变（DR）是发达国家劳动年龄人群失明的主要原因。DR的特征是视网膜微血管病变。本文描述了一种用于可视化在1年时间间隔内视网膜病理学中发生的变化的技术。在DR筛查项目中，对同一只眼睛相隔12个月获取成对的视网膜图像。对图像进行归一化、配准和相减，以生成显示视网膜外观变化的对比度增强差异图像。对104对视网膜图像的归一化因子和配准误差进行了量化。