Documentation/Nightly/RegistrationVideoTutorials

Slicer Registration Training Videos

Below you will find brief videos/screencasts showing step-by-step approaches to the most common tasks. Most have no audio.

Registration Masking: How do I quickly generate a mask for use in registration?

There are several segmentation and editor tools that you can use to quickly generate a map to focus a registration onto the important content. Six approaches are shown below, but not all work equally well for all images. We recommend you try a few on your data to get a feel of what works best for your needs. Also remember that masks for registration differ from other segmentation in that they do not need to be highly accurate.

1. subsample input image: One effective way to reduce manual editing time is to create a subsampled version of your data before you start, perform the segmentation/editing on the subsampled mask and then upsample again in the end. This works best for masks of structures that are large and have relatively smooth surfaces.
2. Otsu automated thresholding: This fast and simple method works well if you seek to separate an object from the background. This will require some post-editing to cleanup. Not recommended for small structures.
3. Robust Statistics Segmenter: This is a very effective segmenter that requires an initial "rough" segmentation as a starting point. You control the result via parameters for the smoothness, size and expected intensity variation of your object. Quite efficient in combination with level sets, as shown in the video.
4. Grow-Cut Segmenter: This is a very powerful algorithm with sparse controls. Fast and effective. It also requires an initial "rough" segmentation as a starting point. You provide sample regions of at least 2 structures and let the module extrapolate. You can then reiterate by applying manual corrections and rerun. Very effective in combination with level sets, as shown in the video.