Realistic Torso Phantom for Calibration of<i>in-vivo</i>Transuranic-Nuclide Counting Facilities

Shirotani, Takashi

doi:10.1080/18811248.1988.9735941

Cited by 31 publications

(9 citation statements)

References 4 publications

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“…The resulting calibration curves are in similar ranges with the LLNL (Griffith et al 1987) and JAERI (Shirotani 1988) phantoms. Deviations from the mean of all XCAT phantoms are decreasing with increasing photon energy.…”

Section: Calibrationsupporting

confidence: 58%

“…A study was performed with the JAERI torso phantom (Shirotani 1988) assessing the capability of reproducing measurements with computational methods (chapter 15). Lung sets with transuranic radionuclides such as 241 Am, 238 Pu, 235 U/ 238 U, and 232 Th were measured and reconstructed (Laubersheimer 2011;Laubersheimer 2012) with the help of Voxel2MCNP, which allows easy import of radionuclide specifications, interactive detector positioning and analysis of pulse-height spectra.…”

Section: Measurement Reconstructionmentioning

confidence: 99%

“…The JAERI phantom was created by Shirotani (1988) at the Japan Atomic Energy Research Institute for the purpose of application to body counter calibration for lung and liver counting setups with regard to transuranic radionuclides. It is based on the torso of a Japanese adult male with average body mass (63.5 kg), height (168 cm), and chest circumference (90.5 cm).…”

Section: Phantom Modellingmentioning

confidence: 99%

“…To check for any issues with the redesigned Voxel2MCNP, it was applied to the reconstruction of calibration measurements with the JAERI phantom (Shirotani 1988).…”

Section: Combination Of Head Detectorsmentioning

confidence: 99%

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Personalised Body Counter Calibration Using Anthropometric Parameters

Pölz

Breustedt

2015

Radiat Prot Dosimetry

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Zusammenfassung AbstractBody counting is a method for in vivo activity assessment applied to the monitoring of people with high risk of radionuclide incorporation. Energy-sensitive radiation detectors are arranged relative to the body to quantify radionuclide deposits in anatomical structures, such as lungs, liver and skeleton. This method depends on the specific detection system and is sensitive to the individual anatomy of the person. Accurate activity estimates, which are the basis for dose calculation, require extensive calibration procedures typically involving experimental measurements of anthropomorphic phantoms conforming to a reference person. Current calibration methods offer personalisation for lung and liver counting only with respect to body mass and height and do not specify uncertainties.This work revises and extends the currently applied personalisation methods using radiation transport simulation in combination with computational phantoms derived from medical imaging data. A framework was developed that allows computation of samples of calibration factors for various anatomies in standard measurement setups and anthropometric parameters quantifying anatomic properties. Those samples are applied to create statistical models to derive personalised calibration factors given specific values of anthropometric parameters measured on the person. This gives better estimates in activity assessment and, thereby, dose calculation while quantifying and reducing uncertainties.The framework was implemented in form of an abstract, modular data model, a software tool for modelling, simulation and evaluation of general body counting scenarios, and a statistical analysis method for correlating anthropometric parameters and calibration factors. This allows efficient and reproducible modelling for virtual measurement reconstruction as well as sensitivity analyses. The framework was applied to the calibration of the In Vivo Measurement Laboratory (IVM) at Karlsruhe Institute of Technology (KIT) comprising four freely arrangeable high-purity germanium detectors in lung, liver, knee and head measurement setups. Because of the interindividual anatomical variations in the applied phantoms and iv additional sensitivity analyses, it was possible to give estimates of the expected uncertainties and to reduce them through an algorithmically reproducible approach on calibration.

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Section: Calibrationsupporting

confidence: 58%

Section: Measurement Reconstructionmentioning

confidence: 99%

Section: Phantom Modellingmentioning

confidence: 99%

“…To check for any issues with the redesigned Voxel2MCNP, it was applied to the reconstruction of calibration measurements with the JAERI phantom (Shirotani 1988).…”

Section: Combination Of Head Detectorsmentioning

confidence: 99%

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Personalised Body Counter Calibration Using Anthropometric Parameters

Pölz

Breustedt

2015

Radiat Prot Dosimetry

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“…The density applied for the air volume in the lungs was D lung ¼0.28 g/cm 3 (Shirotani, 1988) (Table 1).…”

Section: Personalized Methods Based On 3d Reconstructionsmentioning

confidence: 99%

Determination of a new uniform thorax density representative of the living population from 3D external body shape modeling

Amabile

Choisne

Nérot

et al. 2016

Journal of Biomechanics

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Body segment parameters (BSP) for each body׳s segment are needed for biomechanical analysis. To provide population-specific BSP, precise estimation of body׳s segments volume and density are needed. Widely used uniform densities, provided by cadavers׳ studies, did not consider the air present in the lungs when determining the thorax density. The purpose of this study was to propose a new uniform thorax density representative of the living population from 3D external body shape modeling. Bi-planar X-ray radiographies were acquired on 58 participants allowing 3D reconstructions of the spine, rib cage and human body shape. Three methods of computing the thorax mass were compared for 48 subjects: (1) the Dempster Uniform Density Method, currently in use for BSPs calculation, using Dempster density data, (2) the Personalized Method using full-description of the thorax based on 3D reconstruction of the rib cage and spine and (3) the Improved Uniform Density Method using a uniform thorax density resulting from the Personalized Method. For 10 participants, comparison was made between the body mass obtained from a force-plate and the body mass computed with each of the three methods. The Dempster Uniform Density Method presented a mean error of 4.8% in the total body mass compared to the force-plate vs 0.2% for the Personalized Method and 0.4% for the Improved Uniform Density Method. The adjusted thorax density found from the 3D reconstruction was 0.74g/cm(3) for men and 0.73g/cm(3) for women instead of the one provided by Dempster (0.92g/cm(3)), leading to a better estimate of the thorax mass and body mass.

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