Homogeneous Canine Chest Phantom Construction: A Tool for Image Quality Optimization

Ana Luiza Menegatti Pavan, Maria Eugênia Dela Rosa, Guilherme Giacomini, Fernando Antonio Bacchim Neto, Seizo Yamashita, Luiz Carlos Vulcano, Sergio Barbosa Duarte, José Ricardo de Arruda Miranda and Diana Rodrigues de Pina

PLOS ONE, 2016, vol. 11, issue 4, 1-9

Abstract: Digital radiographic imaging is increasing in veterinary practice. The use of radiation demands responsibility to maintain high image quality. Low doses are necessary because workers are requested to restrain the animal. Optimizing digital systems is necessary to avoid unnecessary exposure, causing the phenomenon known as dose creep. Homogeneous phantoms are widely used to optimize image quality and dose. We developed an automatic computational methodology to classify and quantify tissues (i.e., lung tissue, adipose tissue, muscle tissue, and bone) in canine chest computed tomography exams. The thickness of each tissue was converted to simulator materials (i.e., Lucite, aluminum, and air). Dogs were separated into groups of 20 animals each according to weight. Mean weights were 6.5 ± 2.0 kg, 15.0 ± 5.0 kg, 32.0 ± 5.5 kg, and 50.0 ± 12.0 kg, for the small, medium, large, and giant groups, respectively. The one-way analysis of variance revealed significant differences in all simulator material thicknesses (p

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0154193

DOI: 10.1371/journal.pone.0154193

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