Geometric tomography is a mathematical field that focuses on problems of reconstructing homogeneous (often convex) objects from tomographic data (this might be X-rays, projections, sections, brightness functions, or covariograms). More precisely, according to R.J. Gardner (who introduced the term), "Geometric tomography deals with the retrieval of information about a geometric object from data concerning its projections (shadows) on planes or cross-sections by planes."
Theory A key theorem in this area states that any convex body in E n {\displaystyle E^{n}} can be determined by parallel, coplanar X-rays in a set of four directions whose slopes have a transcendental cross ratio.
Examples Radon transform Funk transform (a.k.a. spherical Radon transform)
See also Tomography Tomographic reconstruction Discrete tomography Generalized conic
References
External links Website summarizing geometric tomography – Describes its history, theory, relation to computerized and discrete tomography, and includes interactive demonstrations of reconstruction algorithms. Geometric tomography applet I Geometric tomography applet II
