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Computational hybrid anthropometric paediatric phantom library for internal radiation dosimetry

Kuster, Niels
Published in Physics in Medicine and Biology. 2017, vol. 62, no. 8, p. 3263-3283
Abstract Hybrid computational phantoms combine voxel-based and simplified equation-based modelling approaches to provide unique advantages and more realism for the construction of anthropomorphic models. In this work, a methodology and C++ code are developed to generate hybrid computational phantoms covering statistical distributions of body morphometry in the paediatric population. The paediatric phantoms of the Virtual Population Series (IT'IS Foundation, Switzerland) were modified to match target anthropometric parameters, including body mass, body length, standing height and sitting height/stature ratio, determined from reference databases of the National Centre for Health Statistics and the National Health and Nutrition Examination Survey. The phantoms were selected as representative anchor phantoms for the newborn, 1, 2, 5, 10 and 15 years-old children, and were subsequently remodelled to create 1100 female and male phantoms with 10th, 25th, 50th, 75th and 90th body morphometries. Evaluation was performed qualitatively using 3D visualization and quantitatively by analysing internal organ masses. Overall, the newly generated phantoms appear very reasonable and representative of the main characteristics of the paediatric population at various ages and for different genders, body sizes and sitting stature ratios. The mass of internal organs increases with height and body mass. The comparison of organ masses of the heart, kidney, liver, lung and spleen with published autopsy and ICRP reference data for children demonstrated that they follow the same trend when correlated with age. The constructed hybrid computational phantom library opens up the prospect of comprehensive radiation dosimetry calculations and risk assessment for the paediatric population of different age groups and diverse anthropometric parameters.
Keywords AdolescentAlgorithmsBody SizeChildChild, PreschoolFemaleHumansIn Vivo Dosimetry/methods/standardsInfantInfant, NewbornMalePhantoms, Imaging/standards
PMID: 28350541
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Article (Published version) (3.8 MB) - document accessible for UNIGE members only Limited access to UNIGE
Research group Imagerie Médicale (TEP et TEMP) (542)
Projects FNS: SNF 31003A-149957
Swiss Cancer Research Foundation under Grant KFS-3855-02-2016
(ISO format)
XIE, Tianwu, KUSTER, Niels, ZAIDI, Habib. Computational hybrid anthropometric paediatric phantom library for internal radiation dosimetry. In: Physics in Medicine and Biology, 2017, vol. 62, n° 8, p. 3263-3283. https://archive-ouverte.unige.ch/unige:99855

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Deposited on : 2017-11-30

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