Literature DB >> 17569686

MCNPX internal dosimetry studies based on the NORMAN-05 voxel model.

P Ferrari1, G Gualdrini.   

Abstract

Anthropomorphic computational models coupled with radiation transport codes are valuable tools in radiation protection dosimetry. In particular, they are very reliable for the estimate of the energy absorbed by different organs due to an incorporated radionuclide. MIRD-based stylised analytical models are widely accepted as standards but the recent generation of voxel phantoms, developed on real anatomical data derived from tomographic images, can represent a valid alternative for radiation protection and dosimetry purposes. Specific absorbed fraction evaluation and patient-specific dose estimate in nuclear medicine and radiotherapy could be considered as the optimal area for their implementation and use. On the other hand, the accuracy of organ and body structure representation guarantees an improved dose evaluation system also for radiation protection purposes in the workplace in case of accidental internal contamination. In the present work the voxel model NORMAN-05, a modified version of NORMAN (HPA, UK) model, has been employed with the Monte Carlo code MCNPX. Some preliminary investigations were carried out to evaluate the absorbed fractions for a series of source-target organ couples in case of gamma emitters and the organ absorbed doses in case of 90Sr incorporation. The paper summarises the main preliminary outcomes of such studies.

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Year:  2007        PMID: 17569686     DOI: 10.1093/rpd/ncm273

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  4 in total

1.  Assessment of MIRD data for internal dosimetry using the GATE Monte Carlo code.

Authors:  Ali Asghar Parach; Hossein Rajabi; Mohammad Ali Askari
Journal:  Radiat Environ Biophys       Date:  2011-05-15       Impact factor: 1.925

2.  Estimation of organs doses and radiation-induced secondary cancer risk from scattered photons for conventional radiation therapy of nasopharynx: a Monte Carlo study.

Authors:  Asghar Mesbahi; Farshad Seyednejad; Amir Gasemi-Jangjoo
Journal:  Jpn J Radiol       Date:  2010-06-30       Impact factor: 2.374

Review 3.  Monte Carlo methods for device simulations in radiation therapy.

Authors:  Hyojun Park; Harald Paganetti; Jan Schuemann; Xun Jia; Chul Hee Min
Journal:  Phys Med Biol       Date:  2021-09-14       Impact factor: 4.174

4.  Development of clinical application program for radiotherapy induced cancer risk calculation using Monte Carlo engine in volumetric-modulated arc therapy.

Authors:  Dong-Jin Kang; Young-Joo Shin; Seonghoon Jeong; Jae-Yong Jung; Hakjae Lee; Boram Lee
Journal:  Radiat Oncol       Date:  2021-06-12       Impact factor: 3.481

  4 in total

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