Saygili Gorkem, Staring Marius, Hendriks Emile A
IEEE Trans Med Imaging. 2016 Feb;35(2):539-49. doi: 10.1109/TMI.2015.2481609. Epub 2015 Sep 25.
In this paper, we propose a novel method to estimate the confidence of a registration that does not require any ground truth, is independent from the registration algorithm and the resulting confidence is correlated with the amount of registration error. We first apply a local search to match patterns between the registered image pairs. Local search induces a cost space per voxel which we explore further to estimate the confidence of the registration similar to confidence estimation algorithms for stereo matching. We test our method on both synthetically generated registration errors and on real registrations with ground truth. The experimental results show that our confidence measure can estimate registration errors and it is correlated with local errors.
在本文中，我们提出了一种新颖的方法来估计配准的置信度，该方法不需要任何地面真值，独立于配准算法，并且所得置信度与配准误差量相关。我们首先应用局部搜索来匹配配准图像对之间的模式。局部搜索会为每个体素引入一个代价空间，我们进一步探索该空间以估计配准的置信度，这类似于立体匹配的置信度估计算法。我们在合成生成的配准误差以及具有地面真值的真实配准上测试了我们的方法。实验结果表明，我们的置信度度量可以估计配准误差，并且它与局部误差相关。
