Zikic Darko, Wein Wolfgang, Khamene Ali, Clevert Dirk-André, Navab Nassir
Technische Universität München, Germany.
Med Image Comput Comput Assist Interv. 2006;9(Pt 1):915-23. doi: 10.1007/11866565_112.
We present an intensity based deformable registration algorithm for 3D ultrasound data. The proposed method uses a variational approach and combines the characteristics of a multilevel algorithm and the properties of ultrasound data in order to provide a fast and accurate deformable registration method. In contrast to previously proposed approaches, we use no feature points and no interpolation technique, but compute a dense displacement field directly. We demonstrate that this approach, although it includes solving large PDE systems, reduces the computation time if implemented using efficient numerical techniques. The performance of the algorithm is tested on multiple 3D US images of the liver. Validation is performed by simulations, similarity comparisons between original and deformed images, visual inspection of the displacement fields and visual assessment of the deformed images by physicians.
我们提出了一种基于强度的三维超声数据可变形配准算法。该方法采用变分方法，结合了多级算法的特点和超声数据的特性，以提供一种快速准确的可变形配准方法。与先前提出的方法不同，我们不使用特征点和插值技术，而是直接计算密集位移场。我们证明，尽管该方法包括求解大型偏微分方程系统，但如果使用高效的数值技术实现，可减少计算时间。该算法的性能在多个肝脏的三维超声图像上进行了测试。通过模拟、原始图像与变形图像之间的相似性比较、位移场的目视检查以及医生对变形图像的视觉评估来进行验证。
