Literature DB >> 11539979

Realistic computerized human phantoms.

M Zankl1, R Veit, N Petoussi, E Mannweiler, A Wittmann, G Drexler.   

Abstract

To estimate the risk resulting from exposures to ionizing radiation, the organ and tissue doses should be assessed. A convenient method is the calculation of these doses using representations of the human body, called models or phantoms, together with computer codes simulating the transport of radiation in the body. Most commonly used are mathematical phantoms whose external and internal volumes are defined by simple geometric bodies. More recently, phantoms constructed from computed tomographic data of real persons were introduced as an improvement. These phantoms present advantages concerning the location and shape of the organs, in particular the hard bone and bone marrow, whose distribution can be assessed with high resolution. So far, three of these phantoms were constructed at the GSF, a fourth is under process. The construction technique is described, and some calculational results of organ doses due to external photon irradiation are presented.

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Year:  1994        PMID: 11539979     DOI: 10.1016/0273-1177(94)90496-0

Source DB:  PubMed          Journal:  Adv Space Res        ISSN: 0273-1177            Impact factor:   2.152


  2 in total

1.  Reconstruction of paediatric organ doses from axial CT scans performed in the 1990s - range of doses as input to uncertainty estimates.

Authors:  Hilde M Olerud; Benthe Toft; Silje Flatabø; Andreas Jahnen; Choonsik Lee; Isabelle Thierry-Chef
Journal:  Eur Radiol       Date:  2016-01-23       Impact factor: 5.315

2.  Assessing organ doses from paediatric CT scans--a novel approach for an epidemiology study (the EPI-CT study).

Authors:  Isabelle Thierry-Chef; Jérémie Dabin; Eva G Friberg; Johannes Hermen; Tore S Istad; Andreas Jahnen; Lucian Krille; Choonsik Lee; Carlo Maccia; Arvid Nordenskjöld; Hilde M Olerud; Kaddour Rani; Jean-Luc Rehel; Steven L Simon; Lara Struelens; Ausrele Kesminiene
Journal:  Int J Environ Res Public Health       Date:  2013-02-18       Impact factor: 3.390

  2 in total

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