视网膜血管图像分割及眼底血管三维重建

Retinal Vessel Image Segmentation and Three-dimensional Reconstruction of Retinal Vessel

眼底视网膜图像的血管分布情况为高血压、糖尿病等疾病的早期诊断提供了重要依据.计算机处理眼底图像可以减少医生的重复劳动.本文提出了一种新的眼底视网膜血管图像分割算法.利用构建的局部归一化方法消除视网膜血管图像背景的差异性.利用期望最大化算法进行聚类,实现了眼底视网膜血管图像分割.最后,根据眼底图像成像原理,通过投影逆变换构建了眼底视网膜图像的三维模型.构建的模型可以进行多角度观察分析.

Retinal vessel appearance is an important indicator for many early diagnoses, including diabetes, hypertension, and arteriosclerosis. Computer processing can help doctors＇ work and a retinal vessel image segmentation algorithm was proposed. A local normalization algorithm was used to eliminate background differences. Expectation-maximization algorithm was used to classify the pixels into several classes to obtain segmentation results. At last, based on the anatomical and physiological characteristics of the eye, a reconstruction method to reconstruct three-dimensional retinal vessel was realized by inverse projection theory. The model can be viewed from different directions.