Geometric tomography

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."^[1]

Theory

A key theorem in this area states that any convex body in ${\displaystyle E^{n}}$ 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