Canny edge-based deformable image registration.
Canny edge-based deformable image registration.
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DOI：
10.1088/1361-6560/aa5342
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发表时间：
2017-02-07
影响因子：
3.5
通讯作者：
Tang L
中科院分区：
文献类型：
--
作者：
Kearney V;Huang Y;Mao W;Yuan B;Tang L
这项工作的重点是开发一种基于 2D Canny 边缘的可变形图像配准 (Canny DIR) 算法来配准在不同时间点拍摄的体内白光图像。该方法使用稀疏插值变形算法来稀疏地配准图像中具有强边缘信息的区域。强制执行稳定性标准，该标准去除不以平滑均匀方式变形的边缘区域。使用合成的鼠标表面地面实况模型，在存在变形的情况下轴向旋转下评估 Canny DIR 算法的准确性。还使用荧光染料注射来测试准确性，然后将其用于伽马分析以确定第二个基本事实。结果表明，对于所有评估矩阵和地面实况场景，Canny DIR 算法的性能优于刚性配准、强度校正恶魔和独特特征。总之，在存在与基于白光的图像配准相关的独特照明和阴影变化的情况下，Canny DIR 表现良好。
This work focuses on developing a 2D Canny edge-based deformable image registration (Canny DIR) algorithm to register in vivo white light images taken at various time points. This method uses a sparse interpolation deformation algorithm to sparsely register regions of the image with strong edge information. A stability criterion is enforced which removes regions of edges that do not deform in a smooth uniform manner. Using a synthetic mouse surface ground truth model, the accuracy of the Canny DIR algorithm was evaluated under axial rotation in the presence of deformation. The accuracy was also tested using fluorescent dye injections, which were then used for gamma analysis to establish a second ground truth. The results indicate that the Canny DIR algorithm performs better than rigid registration, intensity corrected Demons, and Distinctive Features for all evaluation matrices and ground truth scenarios. In conclusion Canny DIR performs well in the presence of the unique lighting and shading variations associated with white-light-based image registration.