2-D registration and 3-D shape inference of the retinal fundus from fluorescein images.
2-D registration and 3-D shape inference of the retinal fundus from fluorescein images.
复制标题
根据荧光素图像对视网膜眼底进行 2-D 配准和 3-D 形状推断。
DOI：
10.1016/j.media.2007.10.002
复制
发表时间：
2008
影响因子：
10.9
通讯作者：
Sadda,SrinivasR
中科院分区：
文献类型：
--
作者：
Choe,TaeEun;Medioni,Gerard;Cohen,Isaac;Walsh,AlexanderC;Sadda,SrinivasR
本文提出了视网膜图像序列的二维配准方法和荧光图像的三维形状推断方法。Y特征是一种稳健的几何实体，其在模态之间以及在由染料在血管中的传播引起的时间灰度级变化之间基本不变。首先，我们提出了一种Y特征提取方法，找到一组Y特征的候选人使用局部图像梯度信息。然后使用基于梯度的方法将Y特征的铰接模型更准确地与候选者对齐，同时优化成本函数。使用互信息，拟合的Y特征随后在图像之间进行匹配，包括颜色和荧光素血管造影帧，用于配准。为了在3-D中重建视网膜眼底，提取的Y-特征被用于利用平面和视差方法来估计核线几何。所提出的解决方案提供了一个强大的估计的基本矩阵适合于平面状的表面，如视网膜眼底。互信息准则用于精确估计稠密视差图，而Y特征用于估计距离空间的边界。我们的实验结果验证了一组困难的荧光素图像对所提出的方法。
This study presents methods to 2-D registration of retinal image sequences and 3-D shape inference from fluorescein images. The Y-feature is a robust geometric entity that is largely invariant across modalities as well as across the temporal grey level variations induced by the propagation of the dye in the vessels. We first present a Y-feature extraction method that finds a set of Y-feature candidates using local image gradient information. A gradient-based approach is then used to align an articulated model of the Y-feature to the candidates more accurately while optimizing a cost function. Using mutual information, fitted Y-features are subsequently matched across images, including colors and fluorescein angiographic frames, for registration. To reconstruct the retinal fundus in 3-D, the extracted Y-features are used to estimate the epipolar geometry with a plane-and-parallax approach. The proposed solution provides a robust estimation of the fundamental matrix suitable for plane-like surfaces, such as the retinal fundus. The mutual information criterion is used to accurately estimate the dense disparity map, while the Y-features are used to estimate the bounds of the range space. Our experimental results validate the proposed method on a set of difficult fluorescein image pairs.