Yigitsoy Mehmet, Wachinger Christian, Navab Nassir
Computer Aided Medical Procedures (CAMP), Technische Universität München.
Inf Process Med Imaging. 2011;22:648-59. doi: 10.1007/978-3-642-22092-0_53.
We propose a novel method for the registration of time-resolved image sequences, called Spatio-Temporal groupwise non-rigid Registration using free-form deforMations (STORM). It is a groupwise registration method, with a group of images being considered simultaneously, in order to prevent bias introduction. This is different from pairwise registration methods where only two images are registered to each other. Furthermore, STORM is a spatio-temporal registration method, where both, the spatial and the temporal information are utilized during the registration. This ensures the smoothness and consistency of the resulting deformation fields, which is especially important for motion modeling on medical data. Moreover, popular free-form deformations are applied to model the non-rigid motion. Experiments are conducted on both synthetic and medical images. Results show the good performance and the robustness of the proposed approach with respect to outliers and imaging artifacts, and moreover, its ability to correct for larger deformation in comparison to standard pairwise techniques.
我们提出了一种用于时间分辨图像序列配准的新方法，称为使用自由形式变形的时空分组非刚性配准（STORM）。它是一种分组配准方法，同时考虑一组图像，以防止引入偏差。这与仅将两幅图像相互配准的成对配准方法不同。此外，STORM是一种时空配准方法，在配准过程中同时利用空间和时间信息。这确保了所得变形场的平滑性和一致性，这对于医学数据的运动建模尤为重要。此外，采用流行的自由形式变形来对非刚性运动进行建模。在合成图像和医学图像上都进行了实验。结果表明，所提出的方法在处理异常值和成像伪影方面具有良好的性能和鲁棒性，而且与标准成对技术相比，它能够校正更大的变形。
