Computed tomography image reconstruction from only two projections

Simple item page
dc.creatorMohammad-Djafari, Ali
dc.date2007-05-18
dc.date.accessioned2026-07-07T08:02:15Z
dc.date.available2026-07-07T08:02:15Z
dc.descriptionEnglish: This paper concerns the image reconstruction from a few projections in Computed Tomography (CT). The main objective of this paper is to show that the problem is so ill posed that no classical method, such as analytical methods based on inverse Radon transform, nor the algebraic methods such as Least squares (LS) or regularization theory can give satisfactory result. As an example, we consider in detail the case of image reconstruction from two horizontal and vertical projections. We then show how a particular composite Markov modeling and the Bayesian estimation framework can possibly propose satisfactory solutions to the problem. For demonstration and educational purpose a set of Matlab programs are given for a live presentation of the results. ----- French: Ce travail, à but pédagogique, présente le problème inverse de la reconstruction d'image en tomographie X lorsque le nombre des projections est très limité. voir le texte en Anglais et en Français.
dc.description8 pages. There is also a French language version
dc.identifierhttps://arxiv.org/abs/0705.2698
dc.identifierhttp://arxiv.org/abs/0705.2698
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/129174
dc.subjectData Analysis, Statistics and Probability
dc.subjectComputational Physics
dc.titleComputed tomography image reconstruction from only two projections
dc.typetext

Files

Collections

arXiv