Validation of retinal image registration algorithms by a projective imaging distortion model.
Validation of retinal image registration algorithms by a projective imaging distortion model.
复制标题
通过投影成像畸变模型验证视网膜图像配准算法。
DOI：
10.1109/iembs.2007.4353841
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
Reinhardt,JosephM
中科院分区：
文献类型：
--
作者：
Lee,Sangyeol;Abramoff,MichaelD;Reinhardt,JosephM
视网膜的眼底相机成像被广泛用于记录眼科疾病，包括糖尿病视网膜病变、青光眼和老年性黄斑变性。由于人类视网膜的曲线性，视网膜图像通常具有有限的视场，因此需要使用图像配准技术将多幅图像拼接在一起，形成具有较大视场的蒙太奇。已经提出了多种视网膜图像配准方法，但由于缺乏构成蒙太奇的单个图像的真实对齐的参考标准，客观地评估这些方法是困难的。本文描述了一种通过对眼睛几何形状和图像采集过程中的几何变形建模来生成模拟视网膜图像集的方法。给出了任何视网膜图像配准方法的验证工具，通过追溯变形路径和从参考标准的坐标系中获取几何错位来进行配准。实验中对不同的配准方法进行了定量的比较，从而客观地评价了配准性能。
Fundus camera imaging of the retina is widely used to document ophthalmologic disorders including diabetic retinopathy, glaucoma, and age-related macular degeneration. The retinal images typically have a limited field of view due mainly to the curvedness of human retina, so multiple images are to be joined together using image registration technique to form a montage with a larger field of view. A variety of methods for retinal image registration have been proposed, but evaluating such methods objectively is difficult due to the lack of a reference standard for the true alignment of the individual images that make up the montage. A method of generating simulated retinal image set by modeling geometric distortions due to the eye geometry and the image acquisition process is described in this paper. We also present the validation tool for any retinal image registration method by tracing back the distortion path and accessing the geometric misalignment from the coordinate system of reference standard. The quantitative comparison for different registration methods is given in the experiment, so the registration performance is evaluated in an objective manner.