A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography. (arXiv:2211.00002v1 [cs.CV])

Computed tomography has propelled scientific advances in fields from biology
to materials science. This technology allows for the elucidation of
3-dimensional internal structure by the attenuation of x-rays through an object
at different rotations relative to the beam. By imaging 2-dimensional
projections, a 3-dimensional object can be reconstructed through a
computational algorithm. Imaging at a greater number of rotation angles allows
for improved reconstruction. However, taking more measurements increases the
x-ray dose and may cause sample damage. Deep neural networks …

arxiv ray x-ray x-ray computed tomography