Volume rendering and reconstruction centers around solving two related integral equations: a volume rendering integral (a generalized Radon transform) and a filtered back projection integral (the inverse Radon transform). Both of these equations are of the same mathematical form and can be dimensionally decomposed and approximated using Riemann sums over a series of resampled images. When viewed as a form of texture mapping and frame buffer accumulation, enormous hardware enabled performance acceleration is possible.
No takes yet. Share an insight, caveat, or question.
Cabral et al. (1994) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: