Hi, this is my first time using this forum and I am a beginner with SimpleITK in Python.
I have a series of png ultrasound images. Each image has a corresponding (location, quaternion) data from a tracker that indicates where it was taken. Using the location data, I would like to embed each image in the corresponding location in a 3D image, and interpolate the gaps. What is the proper way to do this? My current approach is to simply calculate pixel location and paint that voxel in the 3D image with the corresponding pixel intensity. Then, I use an interpolator to try to fill in the gaps. But I am guessing there is a better way.