Tetrahedral-mesh-based computational human phantom for fast Monte Carlo dose calculations

Yeom, Yeon Soo; Jeong, Jee–Heon; Han, Min Cheol; Kim, Chan Hyeong

doi:10.1088/0031-9155/59/12/3173

Cited by 76 publications

(63 citation statements)

References 22 publications

(24 reference statements)

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“…However, except for tetrahedral-mesh-based models, 207 most of the hybrid models using B-splines, NURBS, and polygon meshes cannot be directly incorporated in popular Monte Carlo simulation packages. Two solutions were used to cope with the computational compatibility of hybrid models.…”

Section: Discussionmentioning

confidence: 99%

“…Regarding compatibility and ease of usage of anatomical models, both stylized and voxel models have the simplest geometric elements and can be easily integrated in most commercial or open-source simulation tools. However, except for tetrahedral-mesh-based models, 207 most of the hybrid models using B-splines, NURBS, and polygon meshes cannot be directly incorporated in popular Monte Carlo simulation packages. Two solutions were used to cope with the computational compatibility of hybrid models.…”

Section: Discussionmentioning

confidence: 99%

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Development of computational small animal models and their applications in preclinical imaging and therapy research

Xie

Zaidi

2015

Med. Phys.

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The development of multimodality preclinical imaging techniques and the rapid growth of realistic computer simulation tools have promoted the construction and application of computational laboratory animal models in preclinical research. Since the early 1990s, over 120 realistic computational animal models have been reported in the literature and used as surrogates to characterize the anatomy of actual animals for the simulation of preclinical studies involving the use of bioluminescence tomography, fluorescence molecular tomography, positron emission tomography, single-photon emission computed tomography, microcomputed tomography, magnetic resonance imaging, and optical imaging. Other applications include electromagnetic field simulation, ionizing and nonionizing radiation dosimetry, and the development and evaluation of new methodologies for multimodality image coregistration, segmentation, and reconstruction of small animal images. This paper provides a comprehensive review of the history and fundamental technologies used for the development of computational small animal models with a particular focus on their application in preclinical imaging as well as nonionizing and ionizing radiation dosimetry calculations. An overview of the overall process involved in the design of these models, including the fundamental elements used for the construction of different types of computational models, the identification of original anatomical data, the simulation tools used for solving various computational problems, and the applications of computational animal models in preclinical research. The authors also analyze the characteristics of categories of computational models (stylized, voxel-based, and boundary representation) and discuss the technical challenges faced at the present time as well as research needs in the future. C 2016 American Association of Physicists in Medicine. [http://dx

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Development of computational small animal models and their applications in preclinical imaging and therapy research

Xie

Zaidi

2015

Med. Phys.

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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%

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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“…In this work, a software tool was developed to automatically remodel anchor reference phantoms to match target morphometric and anatomical characteristics. The developed library of voxel-based models is capable of representing internal details unlike surface models that cannot represent an inhomogeneous density distribution of organs or tissues [21]. The diversity of 13 organ masses depending on different morphometric parameters was considered.…”

Section: Introductionmentioning

confidence: 99%

Development of a Library of Adult Computational Phantoms Based on Anthropometric Indexes

Akhavanallaf

Xie

Zaidi

2019

IEEE Trans. Radiat. Plasma Med. Sci.

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Computational phantom libraries have been developed over the years to enhance the accuracy of Monte Carlobased radiation dose calculations from radiological procedures. In this work, we report on the development of an adult computational anthropomorphic phantom library covering different body morphometries among the 20-80 years old population. The anatomical diversities of different populations are modeled based on anthropometric parameters extracted from the National Health and Nutrition Examination Survey (NHANES) database, including standing height, total weight and body mass index. Organ masses were modified to match the corresponding data. The ICRP reference male and female models were selected as anchor phantoms. A computer code was developed for adjusting standing height and percentage of fat free mass of anchor phantoms by 3D scaling. The waist circumference and total body mass were further adjusted. The diversity of organ masses due to anthropometric differences deviates from the mean values by about 3-21%, while this deviation exceeds 50% for genital organs. Thereafter, organ-level absorbed doses from both internal and external radiation exposure conditions were estimated. A total of 479 phantoms corresponding to seven age groups were constructed for both genders, thus fulfilling the criteria for representing a diverse adult population with different anthropomorphic and anatomical characteristics.

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Tetrahedral-mesh-based computational human phantom for fast Monte Carlo dose calculations

Cited by 76 publications

References 22 publications

Development of computational small animal models and their applications in preclinical imaging and therapy research

Development of computational small animal models and their applications in preclinical imaging and therapy research

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

Development of a Library of Adult Computational Phantoms Based on Anthropometric Indexes

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