Literature DB >> 21081821

Female workers and in vivo lung monitoring: a simple model for morphological dependence of counting efficiency curves.

J Farah1, D Broggio, D Franck.   

Abstract

This paper addresses the question of the morphological dependence of counting efficiency curves for in vivo lung monitoring of workers, with a particular focus on the case of female workers for whom different chest girth and cup size are considered. A library of 24 female torsos, with chest girth varying from 85 to 120 and cup size from A to F, was constructed using mesh and NURBS formats. The anatomical realism and usefulness of these models for simulating in vivo counting measurements are illustrated and simulations are reported for a typical 4-germanium (Ge) counting system. A simple analytic formula describing the relation between efficiency curves obtained for each female phantom is given. This formula uses the mass attenuation coefficient for adipose tissue and two parameters which are dependant on lung volume and breast weight. The model is tested against Monte Carlo simulated data, experimental data obtained with the Livermore phantom and published data. The model correctly describes the efficiency curve and, since the parameters depend on the counting geometry, it is shown how to estimate them from experimental measurements.

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Year:  2010        PMID: 21081821     DOI: 10.1088/0031-9155/55/23/013

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  2 in total

Review 1.  An exponential growth of computational phantom research in radiation protection, imaging, and radiotherapy: a review of the fifty-year history.

Authors:  X George Xu
Journal:  Phys Med Biol       Date:  2014-08-21       Impact factor: 3.609

2.  Deformable torso phantoms of Chinese adults for personalized anatomy modelling.

Authors:  Hongkai Wang; Xiaobang Sun; Tongning Wu; Congsheng Li; Zhonghua Chen; Meiying Liao; Mengci Li; Wen Yan; Hui Huang; Jia Yang; Ziyu Tan; Libo Hui; Yue Liu; Hang Pan; Yue Qu; Zhaofeng Chen; Liwen Tan; Lijuan Yu; Hongcheng Shi; Li Huo; Yanjun Zhang; Xin Tang; Shaoxiang Zhang; Changjian Liu
Journal:  J Anat       Date:  2018-04-16       Impact factor: 2.610

  2 in total

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