Yu Lun, Wei Lifang, Pan Lin
Institute of Image and Graphics, Fuzhou University, Fuzhou 350002, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2011 Oct;28(5):1043-7.
The retinal image registration has important applications in the processes of auxiliary diagnosis and treatment for a variety of diseases. The retinal image registration can be used to measure the disease process and the therapeutic effect. A variety of retinal image registration techniques have been studied extensively in recent years. However, there are still many problems existing and there are numerous research possibilities. Based on extensive investigation of existing literatures, the present paper analyzes the feature of retinal image and current challenges of retinal image registration, and reviews the transformation models of the retinal image registration technology and the main research algorithms in current retinal image registration, and analyzes the advantages and disadvantages of various types of algorithms. Some research challenges and future developing trends are also discussed.
视网膜图像配准在多种疾病的辅助诊断和治疗过程中具有重要应用。视网膜图像配准可用于测量疾病进程和治疗效果。近年来，多种视网膜图像配准技术得到了广泛研究。然而，仍然存在许多问题，并且有众多的研究可能性。基于对现有文献的广泛调研，本文分析了视网膜图像的特征以及视网膜图像配准当前面临的挑战，回顾了视网膜图像配准技术的变换模型以及当前视网膜图像配准中的主要研究算法，并分析了各类算法的优缺点。还讨论了一些研究挑战和未来发展趋势。
