Homogeneous Canine Chest Phantom Construction: A Tool for Image Quality Optimization
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1371/journal.pone.0154193 http://hdl.handle.net/11449/161450 |
Resumo: | 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 < 0.05) quantified between groups. As a result, four phantoms were constructed for dorsoventral and lateral views. In conclusion, the present methodology allows the development of phantoms of the canine chest and possibly other body regions and/or animals. The proposed phantom is a practical tool that may be employed in future work to optimize veterinary X-ray procedures. |
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Homogeneous Canine Chest Phantom Construction: A Tool for Image Quality OptimizationDigital 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 < 0.05) quantified between groups. As a result, four phantoms were constructed for dorsoventral and lateral views. In conclusion, the present methodology allows the development of phantoms of the canine chest and possibly other body regions and/or animals. The proposed phantom is a practical tool that may be employed in future work to optimize veterinary X-ray procedures.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sao Paulo State Univ, Dept Phys & Biophys, Biosci Inst Botucatu, Sao Paulo, BrazilSao Paulo State Univ, Dept Trop Dis & Diagnost Imaging, Botucatu Med Sch, Sao Paulo, BrazilSao Paulo State Univ, Sch Vet Med & Anim Sci, Dept Anim Reprod & Vet Radiol, Sao Paulo, BrazilBrasilian Ctr Phys Res, Rio De Janeiro, BrazilSao Paulo State Univ, Dept Phys & Biophys, Biosci Inst Botucatu, Sao Paulo, BrazilSao Paulo State Univ, Dept Trop Dis & Diagnost Imaging, Botucatu Med Sch, Sao Paulo, BrazilSao Paulo State Univ, Sch Vet Med & Anim Sci, Dept Anim Reprod & Vet Radiol, Sao Paulo, BrazilPublic Library ScienceUniversidade Estadual Paulista (Unesp)Brasilian Ctr Phys ResMenegatti Pavan, Ana Luiza [UNESP]Dela Rosa, Maria Eugenia [UNESP]Giacomini, Guilherme [UNESP]Bacchim Neto, Fernando Antonio [UNESP]Yamashita, Seizo [UNESP]Vulcano, Luiz Carlos [UNESP]Duarte, Sergio BarbosaArruda Miranda, Jose Ricardo de [UNESP]Pina, Diana Rodrigues de [UNESP]2018-11-26T16:32:47Z2018-11-26T16:32:47Z2016-04-21info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article9application/pdfhttp://dx.doi.org/10.1371/journal.pone.0154193Plos One. San Francisco: Public Library Science, v. 11, n. 4, 9 p., 2016.1932-6203http://hdl.handle.net/11449/16145010.1371/journal.pone.0154193WOS:000374898500165WOS000374898500165.pdf4065105014625753Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPlos One1,164info:eu-repo/semantics/openAccess2024-01-22T06:21:10Zoai:repositorio.unesp.br:11449/161450Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-01-22T06:21:10Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Homogeneous Canine Chest Phantom Construction: A Tool for Image Quality Optimization |
title |
Homogeneous Canine Chest Phantom Construction: A Tool for Image Quality Optimization |
spellingShingle |
Homogeneous Canine Chest Phantom Construction: A Tool for Image Quality Optimization Menegatti Pavan, Ana Luiza [UNESP] |
title_short |
Homogeneous Canine Chest Phantom Construction: A Tool for Image Quality Optimization |
title_full |
Homogeneous Canine Chest Phantom Construction: A Tool for Image Quality Optimization |
title_fullStr |
Homogeneous Canine Chest Phantom Construction: A Tool for Image Quality Optimization |
title_full_unstemmed |
Homogeneous Canine Chest Phantom Construction: A Tool for Image Quality Optimization |
title_sort |
Homogeneous Canine Chest Phantom Construction: A Tool for Image Quality Optimization |
author |
Menegatti Pavan, Ana Luiza [UNESP] |
author_facet |
Menegatti Pavan, Ana Luiza [UNESP] Dela Rosa, Maria Eugenia [UNESP] Giacomini, Guilherme [UNESP] Bacchim Neto, Fernando Antonio [UNESP] Yamashita, Seizo [UNESP] Vulcano, Luiz Carlos [UNESP] Duarte, Sergio Barbosa Arruda Miranda, Jose Ricardo de [UNESP] Pina, Diana Rodrigues de [UNESP] |
author_role |
author |
author2 |
Dela Rosa, Maria Eugenia [UNESP] Giacomini, Guilherme [UNESP] Bacchim Neto, Fernando Antonio [UNESP] Yamashita, Seizo [UNESP] Vulcano, Luiz Carlos [UNESP] Duarte, Sergio Barbosa Arruda Miranda, Jose Ricardo de [UNESP] Pina, Diana Rodrigues de [UNESP] |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Brasilian Ctr Phys Res |
dc.contributor.author.fl_str_mv |
Menegatti Pavan, Ana Luiza [UNESP] Dela Rosa, Maria Eugenia [UNESP] Giacomini, Guilherme [UNESP] Bacchim Neto, Fernando Antonio [UNESP] Yamashita, Seizo [UNESP] Vulcano, Luiz Carlos [UNESP] Duarte, Sergio Barbosa Arruda Miranda, Jose Ricardo de [UNESP] Pina, Diana Rodrigues de [UNESP] |
description |
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 < 0.05) quantified between groups. As a result, four phantoms were constructed for dorsoventral and lateral views. In conclusion, the present methodology allows the development of phantoms of the canine chest and possibly other body regions and/or animals. The proposed phantom is a practical tool that may be employed in future work to optimize veterinary X-ray procedures. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-04-21 2018-11-26T16:32:47Z 2018-11-26T16:32:47Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1371/journal.pone.0154193 Plos One. San Francisco: Public Library Science, v. 11, n. 4, 9 p., 2016. 1932-6203 http://hdl.handle.net/11449/161450 10.1371/journal.pone.0154193 WOS:000374898500165 WOS000374898500165.pdf 4065105014625753 |
url |
http://dx.doi.org/10.1371/journal.pone.0154193 http://hdl.handle.net/11449/161450 |
identifier_str_mv |
Plos One. San Francisco: Public Library Science, v. 11, n. 4, 9 p., 2016. 1932-6203 10.1371/journal.pone.0154193 WOS:000374898500165 WOS000374898500165.pdf 4065105014625753 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Plos One 1,164 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
9 application/pdf |
dc.publisher.none.fl_str_mv |
Public Library Science |
publisher.none.fl_str_mv |
Public Library Science |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965690778615808 |