Summary

X-Ray tomography can be expressed mathematically as a Radon transform. We have derived spline-convolution-based algorithms for two closely related problems the computation of the Radon transform and of its inverse. Because of the optimality of splines for the approximation of smooth functions and of our new least-squares formulation, the Radon transform can be performed with a high quality, and a reasonably efficient implementation.