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      Scattered Radiation Emission Imaging: Principles and Applications

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          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.

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          An Inversion Formula for Cone-Beam Reconstruction

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            A proposed γ camera

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              Relevance of accurate Monte Carlo modeling in nuclear medical imaging.

              Ali Zaidi (1999)
              Monte Carlo techniques have become popular in different areas of medical physics with advantage of powerful computing systems. In particular, they have been extensively applied to simulate processes involving random behavior and to quantify physical parameters that are difficult or even impossible to calculate by experimental measurements. Recent nuclear medical imaging innovations such as single-photon emission computed tomography (SPECT), positron emission tomography (PET), and multiple emission tomography (MET) are ideal for Monte Carlo modeling techniques because of the stochastic nature of radiation emission, transport and detection processes. Factors which have contributed to the wider use include improved models of radiation transport processes, the practicality of application with the development of acceleration schemes and the improved speed of computers. In this paper we present a derivation and methodological basis for this approach and critically review their areas of application in nuclear imaging. An overview of existing simulation programs is provided and illustrated with examples of some useful features of such sophisticated tools in connection with common computing facilities and more powerful multiple-processor parallel processing systems. Current and future trends in the field are also discussed.
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                Author and article information

                Journal
                Int J Biomed Imaging
                IJBI
                International Journal of Biomedical Imaging
                Hindawi Publishing Corporation
                1687-4188
                1687-4196
                2011
                7 June 2011
                : 2011
                : 913893
                Affiliations
                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
                Author notes

                Academic Editor: Peter Bruyndonckx

                Article
                10.1155/2011/913893
                3124682
                21747823
                d67d0a18-1a4d-4cbd-9f25-7037ea8c2a78
                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.

                History
                : 1 December 2010
                : 8 March 2011
                : 10 April 2011
                Categories
                Review Article

                Radiology & Imaging
                Radiology & Imaging

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