Kaiser Markus, John Matthias, Heimann Tobias, Brost Alexander, Neumuth Thomas, Rose Georg
Med Image Comput Comput Assist Interv. 2014;17(Pt 1):283-90. doi: 10.1007/978-3-319-10404-1_36.
2D/3D registration is a well known technique in medical imaging for combining pre-operative volume data with live fluoroscopy. A common issue of this type of algorithms is that out-of-plane parameters are hard to determine. One solution to overcome this issue is the use of X-ray images from two angulations. However, performing in-plane transformation in one image destroys the registration in the other image, particularly if the angulations are smaller than 90 degrees apart. Our main contribution is the automation of a novel registration approach. It handles translation and rotation of a volume in a way that in-plane parameters are kept invariant and independent of the angle offset between both projections in a double-oblique setting. Our approach yields more robust and partially faster registration results, compared to conventional methods, especially in case of object movement. It was successfully tested on clinical data for fusion of transesophageal ultrasound and X-ray.
二维/三维配准是医学成像中一种将术前容积数据与实时荧光透视相结合的知名技术。这类算法的一个常见问题是平面外参数难以确定。克服这一问题的一种解决方案是使用来自两个角度的X射线图像。然而，在一幅图像中执行平面内变换会破坏另一幅图像中的配准，特别是当角度间隔小于90度时。我们的主要贡献是一种新型配准方法的自动化。它处理容积的平移和旋转，使得平面内参数保持不变，并且在双斜设置中与两个投影之间的角度偏移无关。与传统方法相比，我们的方法产生更稳健且部分更快的配准结果，尤其是在物体移动的情况下。它已在用于经食管超声和X射线融合的临床数据上成功测试。
