A Monte Carlo study of lung counting efficiency for female workers of different breast sizes using deformable phantoms

Hegenbart, L.; Na, Y H; Zhang, J Y; Urban, M.; Xu, X. George

doi:10.1088/0031-9155/53/19/017

Cited by 18 publications

(35 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Features related to body height and other lengths or other body parts show low performances. No correlation ( 2 < 0.05 for XCAT for all photon energies) was observed between cup size (difference of bust circumference and underbust circumference) and counting efficiency for lungs, which was reported by Hegenbart et al (2008) and Farah, Broggio and Franck (2010). However, larger detectors (phoswich detectors and a 2 × 2 HPGe array) and detector positions (frontal to the breasts in the first case) were chosen in these works, which could explain the deviations.…”

Section: Resultsmentioning

confidence: 89%

“…This topic was addressed by several authors. Hegenbart et al (2008) and Farah, Broggio and Franck (2010) created series of person-dependent female phantoms with varying cup sizes for application to lung counting with phoswich and germanium detectors respectively. They found a negative correlation of breast mass and cup size to counting efficiency.…”

Section: Cup Sizementioning

confidence: 99%

See 1 more Smart Citation

Personalised Body Counter Calibration Using Anthropometric Parameters

Pölz

Breustedt

2015

Radiat Prot Dosimetry

View full text Add to dashboard Cite

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.

show abstract

Section: Resultsmentioning

confidence: 89%

Section: Cup Sizementioning

confidence: 99%

Personalised Body Counter Calibration Using Anthropometric Parameters

Pölz

Breustedt

2015

Radiat Prot Dosimetry

View full text Add to dashboard Cite

show abstract

“…The paper by Xu et al was rated one of the 10 best papers in 2007 by Physics in Medicine and Biology. Continuing their triangular mesh approach, this group reported in 2008 the development of a pair of adult male and female phantoms, the so-called RPI Adult Male and Female [110,111,112]. This pair of adult phantoms was carefully adjusted to match the ICRP-89 reference values for more than 70 organs and 45 bones (including cortical bone, spongiosa, and cavities) as well as muscles.…”

Section: Brep Phantoms From 2000s To Presentmentioning

confidence: 99%

“…The RPI Adult Male and Female phantoms are mesh-based BREP phantoms [112]. As an application, the female phantom was recently used to create phantoms of female workers with different breast sizes for the purpose of studying the effect of this parameter on the lung counting of internally deposited radionuclides [110]. The mesh models had to be converted to voxels to work with Monte Carlo codes that only handle CSG shapes.…”

Section: Brep Phantoms From 2000s To Presentmentioning

confidence: 99%

Computational Phantoms for Organ Dose Calculations in Radiation Protection and Imaging

2013

The Phantoms of Medical and Health Physics

View full text Add to dashboard Cite

Dosimetry for ionizing radiation has to do with the determination of amount and distribution pattern of the energy deposited in a part or parts of the human body from internal or external radiation sources. To protect against occupational exposures, dose limits for radiosensitive organs are recommended by international organizations and are adopted as national regulations. In both diagnostic radiology and nuclear medicine, X-ray photons and gamma rays traverse through body tissues to form images of the anatomy, depositing radiation energy in organs along the pathway via secondary electrons. Accurate radiation dosimetry is essential but also quite challenging for three reasons: (1) there are many diverse exposure scenarios resulting in unique spatial and temporal relationships between the source and human body; (2) an exposure can involve multiple radiation types, each of which is governed by different radiation physics principles, such as photons (X-ray photons, gamma rays, and positrons), electrons, alpha particles, neutrons, and protons; (3) the human body consists of a large number of anatomical structures of diverse shape, composition and density, leading to complex radiation interaction patterns. Since it is inconvenient to place a dosimeter inside the human body, organ dose estimates have been obtained mostly using a physical phantom or a computational phantom that mimics the interior and exterior anatomical features of the human body.Historically, the term phantom was used in most radiological science literature to mean a physical model of the human body. In the radiation protection community, however, the term has also been used to refer to a mathematically defined anatomical model that is distinctly different from a physiologically based model such as that related to respiration or blood flow. In this chapter, the phrases, ''computational phantom'' and ''physical phantom,'' are used to avoid confusion.

show abstract

“…An alternative to the use of physical phantoms consists in computing the calibration coefficients using 3D models of the monitored subjects or a 3D model closer to the subject than the physical phantom (Kramer et al 2003a(Kramer et al , 2004Becker et al 2006). For the female case, this approach has been recently considered by Hegenbart et al (2008) for lung monitoring with phoswich detectors.…”

Section: Introductionmentioning

confidence: 99%

Creation and Use of Adjustable 3d Phantoms: Application for the Lung Monitoring of Female Workers

Farah¹,

Broggio²,

Franck³

2010

Health Physics

View full text Add to dashboard Cite

In vivo counting measurements, used for the monitoring of workers with internal contamination risks, are based on the use of calibration physical phantoms. However, such phantoms do not exist for female subjects. Computational calibration using numerical representations, Mesh and non-uniform rational basis spline (NURBS) geometries, was thus considered. The study presented here is focused on the creation of different female thoracic phantoms with various breast sizes and chest girths. These 3D models are used to estimate the radiation attenuation with morphology and the resulting variation of the calibration coefficient of a typical 4-germanium in vivo counting system. A basic Mesh female thoracic phantom was created from the International Commission on Radiological Protection Adult Female Reference Computational Phantom. Using this basic phantom, different chest girths (85, 90, 100, 110, and 120) and cup sizes (A to F) were created representing the most common thoracic female morphologies, as recommended by the available and relevant literature. Variation of breast tissue composition and internal organ volumes with morphology were also considered. As a result, 34 thoracic female phantoms were created combining different cup sizes and chest girths. For the 85 chest girth, at very low energies (15 keV), a relative counting efficiency variation of about 85% was observed between the A and E cups. As a result of this study, breast size dependent calibration coefficients, between 15 keV and 1.4 MeV, were obtained and tabulated for a typical lung counting germanium system.

show abstract

A Monte Carlo study of lung counting efficiency for female workers of different breast sizes using deformable phantoms

Cited by 18 publications

References 18 publications

Personalised Body Counter Calibration Using Anthropometric Parameters

Personalised Body Counter Calibration Using Anthropometric Parameters

Computational Phantoms for Organ Dose Calculations in Radiation Protection and Imaging

Creation and Use of Adjustable 3d Phantoms: Application for the Lung Monitoring of Female Workers

Contact Info

Product

Resources

About