TY - JUR A2 - GRACIA，LUIS AU - CHANG，Chih-ju Au - 林，耿李·奥 - TSE，ALEX AU - Chu，Hong-Yu Au - Tseng，Ching-Shiow Py - 2015 DA - 2015/05 /28 Ti - 用于脊柱外科的C臂图像辅助导航系统的2D C-ARM和3D CT图像的注册SP - 478062 VL - 2015年AB - C形臂图像辅助手术系统已广泛应用于脊柱手术。但是，C形臂AP视图图像上的准确路径规划很难。该研究研究了2D-3D图像配准方法，以获得C形臂和CT图像帧之间的最佳变换矩阵。通过变换矩阵，可以在术前CT图像上进行的外科手术路径转换并显示在C形臂图像上以进行外科手术引导。外科手术器械的位置也将在CT和C臂上实时显示。Five similarity measure methods of 2D-3D image registration including Normalized Cross-Correlation, Gradient Correlation, Pattern Intensity, Gradient Difference Correlation, and Mutual Information combined with three optimization methods including Powell’s method, Downhill simplex algorithm, and genetic algorithm are applied to evaluate their performance in converge range, efficiency, and accuracy. Experimental results show that the combination of Normalized Cross-Correlation measure method with Downhill simplex algorithm obtains maximum correlation and similarity in C-Arm and Digital Reconstructed Radiograph (DRR) images. Spine saw bones are used in the experiment to evaluate 2D-3D image registration accuracy. The average error in displacement is 0.22 mm. The success rate is approximately 90% and average registration time takes 16 seconds. SN - 1176-2322 UR - https://doi.org/10.1155/2015/478062 DO - 10.1155/2015/478062 JF - Applied Bionics and Biomechanics PB - Hindawi Publishing Corporation KW - ER -