Kiriyanthan Silja, Fundana Ketut, Majeed Tahir, Cattin Philippe C
Medical Image Analysis Center, Department of Biomedical Engineering, University of Basel, Basel, Switzerland.
Comput Math Methods Med. 2016;2016:9504949. doi: 10.1155/2016/9504949. Epub 2016 Sep 19.
Image registration is a powerful tool in medical image analysis and facilitates the clinical routine in several aspects. There are many well established elastic registration methods, but none of them can so far preserve discontinuities in the displacement field. These discontinuities appear in particular at organ boundaries during the breathing induced organ motion. In this paper, we exploit the fact that motion segmentation could play a guiding role during discontinuity preserving registration. The motion segmentation is embedded in a continuous cut framework guaranteeing convexity for motion segmentation. Furthermore we show that a primal-dual method can be used to estimate a solution to this challenging variational problem. Experimental results are presented for MR images with apparent breathing induced sliding motion of the liver along the abdominal wall.
图像配准是医学图像分析中的一项强大工具，并在多个方面促进了临床常规工作。目前已有许多成熟的弹性配准方法，但到目前为止，它们都无法在位移场中保留不连续性。这些不连续性尤其出现在呼吸引起的器官运动过程中的器官边界处。在本文中，我们利用运动分割在保留不连续性的配准过程中可以起到指导作用这一事实。运动分割被嵌入到一个连续切割框架中，以保证运动分割的凸性。此外，我们表明可以使用原始对偶方法来估计这个具有挑战性的变分问题的解。针对具有明显的肝脏沿腹壁呼吸诱导滑动运动的磁共振图像给出了实验结果。
