发表机构
École Polytechnique de Montréal; Object Research Systems Inc.; École de technologie supérieure; Pratt & Whitney Canada（蒙特利尔综合理工学院; 对象研究系统公司; 高等技术学院; 加拿大普惠公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出基于3D/2D刚性配准与CT视图优化的方法，可实现燃气轮机叶片几何精确重建，其配准精度达亚像素级，能缓解图像噪声与缺陷的影响，可替代CT重建用于部件检测测量。
AI 中文摘要
无损X射线与计算机断层扫描（CT）测试对于确保带有复杂内部结构的制造部件的尺寸精度至关重要，例如燃气轮机叶片中的冷却通道，其直接影响热性能与使用寿命。本研究提出一种多部分3D-2D刚性配准方法，用于将CAD模型与X射线投影对齐，作为CT重建的替代方案，用于部件检测与测量。该方法采用贪婪配准算法，通过最大化模拟与采集的X射线图像之间的互信息，先依次对齐叶片的外部，再配准其内部部件；这种分步方法降低了问题复杂度并提升了配准精度。视图角度采用贪婪方法优化，该方法迭代选择角度以最小化尺寸测量误差。结果表明，少量倾斜视图即可实现最佳精度，尽管广泛的角度范围也能产生可接受的结果。该方法达到亚像素配准精度，误差小于放大后的探测器像素间距的五分之一。图像噪声与缺陷会降低配准精度，但与CT重建相比，在投影空间中直接配准可缓解这些影响。因此，适当的视图选择可在存在图像噪声与缺陷的情况下保持可接受的亚像素精度。
英文摘要
Non-destructive X-ray and computed tomography (CT) testing are essential for ensuring the dimensional accuracy of manufactured components with complex internal structures, such as the cooling channels in gas turbine blades, which directly affect thermal performance and service life. This study presents a multipart 3D-2D rigid registration approach for aligning CAD models with X-ray projections as an alternative to CT reconstruction for part inspection and measurement. A greedy registration algorithm sequentially aligns the blade's exterior before registering its internal components by maximizing the mutual information between simulated and acquired X-ray images. This stepwise approach reduces problem complexity and improves alignment accuracy. View angles are optimized using a greedy method that iteratively selects angles to minimize dimensional measurement errors. The results indicate that a small number of oblique views provides the best accuracy, although a broad range of angles yields acceptable results. The method achieves subpixel registration accuracy, with errors below one-fifth of the magnified detector-pixel pitch. Image noise and defects reduce registration precision, but direct registration in projection space mitigates these effects compared with CT reconstruction. Appropriate view selection can therefore preserve acceptable subpixel accuracy in the presence of image noise and defects.
Commentsconference proceedings International Conference on Computed Tomography (iCT) 2025, 8 pages, 6 figures
DOI：10.58286/30748
