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International Journal of Biomedical Imaging
Volume 2011 (2011), Article ID 913893, 15 pages
http://dx.doi.org/10.1155/2011/913893
Review Article

Scattered Radiation Emission Imaging: Principles and Applications

1Laboratoire Equipes Traitement de l'Information et Systèmes, CNRS UMR 8051/ENSEA, Université de Cergy-Pontoise, 95302 Cergy-Pontoise, France
2Laboratoire de Physique Théorique et Modélisation, CNRS UMR 8089, Université de Cergy-Pontoise, 95302 Cergy-Pontoise, France
3Facultad Regional Buenos Aires, Universidad Tecnológica Nacional, Mozart 2300, C1407IVT Buenos Aires, Argentina
4Division of Nuclear Medicine, Geneva University Hospital, 1211 Geneva 4, Switzerland
5Geneva Neuroscience Center, Geneva University, 1211 Geneva 4, Switzerland

Received 1 December 2010; Revised 8 March 2011; Accepted 10 April 2011

Academic Editor: Peter Bruyndonckx

Copyright © 2011 M. K. Nguyen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Imaging processes built on the Compton scattering effect have been under continuing investigation since it was first suggested in the 50s. However, despite many innovative contributions, there are still formidable theoretical and technical challenges to overcome. In this paper, we review the state-of-the-art principles of the so-called scattered radiation emission imaging. Basically, it consists of using the cleverly collected scattered radiation from a radiating object to reconstruct its inner structure. Image formation is based on the mathematical concept of compounded conical projection. It entails a Radon transform defined on circular cone surfaces in order to express the scattered radiation flux density on a detecting pixel. We discuss in particular invertible cases of such conical Radon transforms which form a mathematical basis for image reconstruction methods. Numerical simulations performed in two and three space dimensions speak in favor of the viability of this imaging principle and its potential applications in various fields.