A polygon-surface reference Korean male phantom (PSRK-Man) and its direct implementation in Geant4 Monte Carlo simulation

Kim, Chan Hyeong; Jeong, Jee–Heon; Bolch, Wesley E.; Cho, Kun-Woo; Hwang, Sung Ho

doi:10.1088/0031-9155/56/10/016

Cited by 62 publications

(66 citation statements)

References 20 publications

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“…It requires modelling of a radiation source, the general interaction processes of the particles being transported, the media in which the transport is performed, and how and where the individual particles are being tallied. Applications for radiation transport simulation are, for example, treatment planning for radiotherapy, computed tomography simulation, and reconstruction of radiological accidents (Kling et al 2001).…”

Section: Monte Carlo Methodsmentioning

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: Monte Carlo Methodsmentioning

confidence: 99%

“…• Kim et al (2011) use graphic modelling tools to approximate a voxel model with a mixture of polygon and NURBS meshes. …”

Section: Hybrid Modelsmentioning

confidence: 99%

Personalised Body Counter Calibration Using Anthropometric Parameters

Pölz

Breustedt

2015

Radiat Prot Dosimetry

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“…A version of Geant4 is available for direct implementation of PM phantoms, resulting, however, in high computation times. 8 To improve computation speed, Yeom et al 25 converted PM phantoms to a tetrahedral mesh format via tetrahedralization for use in the Monte Carlo code GEANT4. Moreover, PenMesh, a Monte Carlo code based on PENELOPE physics subroutines, can directly deal with PM geometries.…”

Section: Whole Body Voxel Model Laura and Its Nurbs/pm Versionmentioning

confidence: 99%

“…The third generation of phantoms is the so-called hybrid type; the organs are described by either NURBS or PM surfaces. [6][7][8] This offers both flexibility in organ alterations and anatomical realism. While most of the hybrid phantoms were applied for dosimetry, Segars et al 9 generated 58 adult highly detailed 4-D extended cardiac-torso (XCAT) phantoms based on patient CT data to be used for imaging research.…”

Section: Introductionmentioning

confidence: 99%

Anthropomorphic dual-lattice voxel models for optimizing image quality and dose

et al. 2017

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Abstract. Using numerical simulations, the influence of various imaging parameters on the resulting image can be determined for various imaging technologies. To achieve this, visualization of fine tissue structures needed to evaluate the image quality with different radiation quality and dose is essential. The present work examines a method that employs simulations of the imaging process using Monte Carlo methods and a combination of a standard and higher resolution voxel models. A hybrid model, based on nonlinear uniform rational B-spline and polygon mesh surfaces, was constructed from an existing voxel model of a female patient of a resolution in the range of millimeters. The resolution of the hybrid model was 500 μm, i.e., substantially finer than that of the original model. Furthermore, a high resolution lung voxel model [ð0.11 mmÞ 3 voxel volume, slice thickness: 114 μm] was developed from the specimen of a left lung lobe. This has been inserted into the hybrid model, substituting its left lung lobe and resulting in a dual-lattice geometry model. "Dual lattice" means, in this context, the combination of voxel models with different resolutions. Monte Carlo simulations of radiographic imaging were performed and the fine structure of the lung was easily recognizable.

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“…Depending on their geometric features, computational models can be divided into three basic categories: stylized models which employ simple equationbased mathematical functions, voxel-based models which use matrices obtained from segmented medical images, and boundary representation (BREP) models which employ nonuniform rational B-splines (NURBS) or polygonal meshes to represent the surface contour of individual organs and the whole body. [23][24][25][26] In most studies reported in the literature, the estimation of organ absorbed dose for a spectrum of populations of different ages from radiopharmaceuticals used in nuclear cardiology was performed using mathematical phantoms, [27][28][29] voxel-based models of the same subject.…”

Section: Introductionmentioning

confidence: 99%

Assessment of radiation dose in nuclear cardiovascular imaging using realistic computational models

et al. 2015

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Purpose: Nuclear cardiology plays an important role in clinical assessment and has enormous impact on the management of a variety of cardiovascular diseases. Pediatric patients at different age groups are exposed to a spectrum of radiation dose levels and associated cancer risks different from those of adults in diagnostic nuclear medicine procedures. Therefore, comprehensive radiation dosimetry evaluations for commonly used myocardial perfusion imaging (MPI) and viability radiotracers in target population (children and adults) at different age groups are highly desired. Methods: Using Monte Carlo calculations and biological effects of ionizing radiation VII model, we calculate the S-values for a number of radionuclides and estimate the absorbed dose and effective dose for 12 MPI radiotracers in computational models including the newborn, 1-, 5-, 10-, 15-yr-old, and adult male and female computational phantoms. Tc-labeled tracers. However, this advantage is less apparent in children. The produced dosimetric databases for various radiotracers used in cardiovascular imaging, using new generation of computational models, can be used for risk-benefit assessment of a spectrum of patient population in clinical nuclear cardiology practice. C 2015 American Association of Physicists in Medicine. [http://dx

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A polygon-surface reference Korean male phantom (PSRK-Man) and its direct implementation in Geant4 Monte Carlo simulation

Cited by 62 publications

References 20 publications

Personalised Body Counter Calibration Using Anthropometric Parameters

Personalised Body Counter Calibration Using Anthropometric Parameters

Anthropomorphic dual-lattice voxel models for optimizing image quality and dose

Assessment of radiation dose in nuclear cardiovascular imaging using realistic computational models

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