This are some of the topics I read:
In general, these multiple low-resolution acquisitions are not well suited for any 3D processing, so the best would be to acquire proper 3D volume, with as isotropic spacing (cubic voxel shape) as possible.
You may try to find toolkits that can create an isotropic super-resolution image from multiple low-resolution sweeps, but this is a difficult image reconstruction problem, so there are no standard solutions. Have a look at this post Import volume by projections for info on a toolkit that mig…
OK, so you actually have cross-sectional images. Not projections. I guess you have those kind of volumes where you have high-resolution slices with huge gaps between them (spacing between slices is a magnitude larger than pixel spacing within the slice).
Unfortunately, it is a very difficult problem to create high-resolution data from these sparse slices, since in general you have no way of knowing what is between slices. If you have a priori information about the image content then you may be …
But none of them actually helped me.