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Title: Radiation Dose Estimation Using Realistic Postures with PIMAL

Abstract

For correct radiation dose assessment, it is important to take the posture into account. A computational phantom with moving arms and legs was previously developed to address this need. Further, an accompanying graphical user interface (GUI), called PIMAL, was developed to enable dose estimation using realistic postures in a user-friendly manner such that the analyst's time could be substantially reduced. The importance of the posture for correct dose estimation has been demonstrated with a few case studies in earlier analyses. The previous version of PIMAL was somewhat limited in its features (i.e., it contained only a hermaphrodite phantom model and allowed only isotropic source definition). Currently GUI is being further enhanced by incorporating additional phantom models, improving the features, and increasing the user friendliness in general. This paper describes recent updates to the PIMAL software. In this summary recent updates to the PIMAL software, which aims to perform radiation transport simulations for phantom models in realistic postures in a user-friendly manner, are described. In future work additional phantom models, including hybrid phantom models, will be incorporated. In addition to further enhancements, a library of input files for the case studies that have been analyzed to date will be included inmore » the PIMAL.« less

Authors:
 [1];  [1];  [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
Work for Others (WFO)
OSTI Identifier:
1000420
DOE Contract Number:  
DE-AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: 2010 ANS Winter Meeting and Nuclear Technology Expo, Las Vegas, NV, USA, 20101107, 20101111
Country of Publication:
United States
Language:
English
Subject:
61 RADIATION PROTECTION AND DOSIMETRY; 97 MATHEMATICAL METHODS AND COMPUTING; PHANTOMS; RADIATION DOSES; RADIATION TRANSPORT; P CODES; PIMAL; Radiation; Dose

Citation Formats

Akkurt, Hatice, Wiarda, Dorothea, and Eckerman, Keith F. Radiation Dose Estimation Using Realistic Postures with PIMAL. United States: N. p., 2010. Web.
Akkurt, Hatice, Wiarda, Dorothea, & Eckerman, Keith F. Radiation Dose Estimation Using Realistic Postures with PIMAL. United States.
Akkurt, Hatice, Wiarda, Dorothea, and Eckerman, Keith F. 2010. "Radiation Dose Estimation Using Realistic Postures with PIMAL". United States.
@article{osti_1000420,
title = {Radiation Dose Estimation Using Realistic Postures with PIMAL},
author = {Akkurt, Hatice and Wiarda, Dorothea and Eckerman, Keith F},
abstractNote = {For correct radiation dose assessment, it is important to take the posture into account. A computational phantom with moving arms and legs was previously developed to address this need. Further, an accompanying graphical user interface (GUI), called PIMAL, was developed to enable dose estimation using realistic postures in a user-friendly manner such that the analyst's time could be substantially reduced. The importance of the posture for correct dose estimation has been demonstrated with a few case studies in earlier analyses. The previous version of PIMAL was somewhat limited in its features (i.e., it contained only a hermaphrodite phantom model and allowed only isotropic source definition). Currently GUI is being further enhanced by incorporating additional phantom models, improving the features, and increasing the user friendliness in general. This paper describes recent updates to the PIMAL software. In this summary recent updates to the PIMAL software, which aims to perform radiation transport simulations for phantom models in realistic postures in a user-friendly manner, are described. In future work additional phantom models, including hybrid phantom models, will be incorporated. In addition to further enhancements, a library of input files for the case studies that have been analyzed to date will be included in the PIMAL.},
doi = {},
url = {https://www.osti.gov/biblio/1000420}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 01 00:00:00 EST 2010},
month = {Fri Jan 01 00:00:00 EST 2010}
}

Conference:
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