使用SimpleITK进行图像配准精度评估（Hausdroff距离）而不分割图像

Question

I have registered two images, let's say fixed and moving are Registered. After registration I want to measure overlap ratio etc.

The SimpleITK has overlap measure filters and to use overlap_measures_filter.Execute(fixed, moving) and hausdroff_measures_filter.Execute() we need to segment the image and we need labels in input. But the image is hard to segment using just thresholding or connected component filters.

Now the question is then how can we evaluate registration accuracy using SimpleITK with just fixed image and the registered image.(without segmentation ad labeling the image)

Answer 1

如果我正确理解你的问题，你想要的是不可能的：将Hausdorff距离测量好像图像被分割一样，但是没有分割它，因为分割很难。