Combining overlapping 3D images

Let’s say I have two 3D ultrasound images representing two overlapping regions. How can I combine those images into a single 3D image? I want to preserve spatial information.

I think that Francois had some code to do that, he has many public repositories. The repo with that might be called utilities, or have that word in the name.

The reason there is no unified tool for that, is that it can be done in many ways. And the most appropriate way depends on the application.

Hello @Ale_Ballester,

This jupyter notebook may be of interest. Specifically, the functions create_images_in_shared_coordinate_system and composite_images_alpha_blending. The former requires adaptation from 2D to 3D, but that is trivial.

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