Tomazevic Dejan, Likar Bostjan, Pernus Franjo
Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia.
Comput Aided Surg. 2004;9(4):137-44. doi: 10.3109/10929080500097687.
Evaluation and comparison of registration techniques for image-guided surgery is an important problem that has received little attention in the literature. In this paper we address the challenging problem of generating reliable "gold standard" data for use in evaluating the accuracy of 3D/2D registrations. We have devised a cadaveric lumbar spine phantom with fiducial markers and established highly accurate correspondences between 3D CT and MR images and 18 2D X-ray images. The expected target registration errors for target points on the pedicles are less than 0.26 mm for CT-to-X-ray registration and less than 0.42 mm for MR-to-X-ray registration. As such, the "gold standard" data, which has been made publicly available on the Internet (http://lit.fe.uni-lj.si/Downloads/downloads.asp), is useful for evaluation and comparison of 3D/2D image registration methods.
用于图像引导手术的配准技术的评估与比较是一个在文献中很少受到关注的重要问题。在本文中，我们解决了生成可靠的“金标准”数据这一具有挑战性的问题，该数据用于评估3D/2D配准的准确性。我们设计了一个带有基准标记的尸体腰椎模型，并在3D CT和MR图像与18张2D X射线图像之间建立了高度精确的对应关系。对于椎弓根上的目标点，CT到X射线配准的预期目标配准误差小于0.26毫米，MR到X射线配准的预期目标配准误差小于0.42毫米。因此，已在互联网上公开提供（http://lit.fe.uni-lj.si/Downloads/downloads.asp）的“金标准”数据，对于3D/2D图像配准方法的评估和比较很有用。
