6 February 2018 Characterization and validation of the thorax phantom Lungman for dose assessment in chest radiography optimization studies
Sunay Rodríguez Pérez, Nicholas William Marshall, Lara Struelens, Hilde Bosmans
Author Affiliations +
Abstract
This work concerns the validation of the Kyoto-Kagaku thorax anthropomorphic phantom Lungman for use in chest radiography optimization. The equivalence in terms of polymethyl methacrylate (PMMA) was established for the lung and mediastinum regions of the phantom. Patient chest examination data acquired under automatic exposure control were collated over a 2-year period for a standard x-ray room. Parameters surveyed included exposure index, air kerma area product, and exposure time, which were compared with Lungman values. Finally, a voxel model was developed by segmenting computed tomography images of the phantom and implemented in PENELOPE/penEasy Monte Carlo code to compare phantom tissue-equivalent materials with materials from ICRP Publication 89 in terms of organ dose. PMMA equivalence varied depending on tube voltage, from 9.5 to 10.0 cm and from 13.5 to 13.7 cm, for the lungs and mediastinum regions, respectively. For the survey, close agreement was found between the phantom and the patients’ median values (deviations lay between 8% and 14%). Differences in lung doses, an important organ for optimization in chest radiography, were below 13% when comparing the use of phantom tissue-equivalent materials versus ICRP materials. The study confirms the value of the Lungman for chest optimization studies.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4302/2018/$25.00 © 2018 SPIE
Sunay Rodríguez Pérez, Nicholas William Marshall, Lara Struelens, and Hilde Bosmans "Characterization and validation of the thorax phantom Lungman for dose assessment in chest radiography optimization studies," Journal of Medical Imaging 5(1), 013504 (6 February 2018). https://doi.org/10.1117/1.JMI.5.1.013504
Received: 13 October 2017; Accepted: 11 January 2018; Published: 6 February 2018
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Cited by 10 scholarly publications.
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KEYWORDS
Lung

Polymethylmethacrylate

Tissues

Chest

Image segmentation

Radiography

Monte Carlo methods

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