Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting
The conventional reading of the skin prick test (SPT) for diagnosing allergies is prone to inter- and intra-observer variations. Drawing the contours of the skin wheals from the SPT and scanning them for computer processing is cumbersome. However, 3D scanning technology promises the best results in...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9240
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9240
- Palabra clave:
- Allergen
Adult
Allergic reaction
Article
Autoanalysis
Blomia tropicalis
Controlled study
Dander
Dermatophagoides farinae
Dermatophagoides pteronyssinus
Diagnostic accuracy
Diagnostic test accuracy study
Female
Human
Image reconstruction
Male
Periplaneta americana
Prick test
Reproducibility
Skin manifestation
Three dimensional imaging
Multi-TestRPC
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.none.fl_str_mv |
Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting |
title |
Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting |
spellingShingle |
Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting Allergen Adult Allergic reaction Article Autoanalysis Blomia tropicalis Controlled study Dander Dermatophagoides farinae Dermatophagoides pteronyssinus Diagnostic accuracy Diagnostic test accuracy study Female Human Image reconstruction Male Periplaneta americana Prick test Reproducibility Skin manifestation Three dimensional imaging Multi-TestRPC |
title_short |
Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting |
title_full |
Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting |
title_fullStr |
Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting |
title_full_unstemmed |
Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting |
title_sort |
Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting |
dc.subject.keywords.none.fl_str_mv |
Allergen Adult Allergic reaction Article Autoanalysis Blomia tropicalis Controlled study Dander Dermatophagoides farinae Dermatophagoides pteronyssinus Diagnostic accuracy Diagnostic test accuracy study Female Human Image reconstruction Male Periplaneta americana Prick test Reproducibility Skin manifestation Three dimensional imaging Multi-TestRPC |
topic |
Allergen Adult Allergic reaction Article Autoanalysis Blomia tropicalis Controlled study Dander Dermatophagoides farinae Dermatophagoides pteronyssinus Diagnostic accuracy Diagnostic test accuracy study Female Human Image reconstruction Male Periplaneta americana Prick test Reproducibility Skin manifestation Three dimensional imaging Multi-TestRPC |
description |
The conventional reading of the skin prick test (SPT) for diagnosing allergies is prone to inter- and intra-observer variations. Drawing the contours of the skin wheals from the SPT and scanning them for computer processing is cumbersome. However, 3D scanning technology promises the best results in terms of accuracy, fast acquisition, and processing. In this work, we present a wide-field 3D imaging system for the 3D reconstruction of the SPT, and we propose an automated method for the measurement of the skin wheals. The automated measurement is based on pyramidal decomposition and parametric 3D surface fitting for estimating the sizes of the wheals directly. We proposed two parametric models for the diameter estimation. Model 1 is based on an inverted Elliptical Paraboloid function, and model 2 on a super-Gaussian function. The accuracy of the 3D imaging system was evaluated with validation objects obtaining transversal and depth accuracies within ± 0.1 mm and ± 0.01 mm, respectively. We tested the method on 80 SPTs conducted in volunteer subjects, which resulted in 61 detected wheals. We analyzed the accuracy of the models against manual reference measurements from a physician and obtained that the parametric model 2 on average yields diameters closer to the reference measurements (model 1: -0.398 mm vs. model 2: -0.339 mm) with narrower 95% limits of agreement (model 1: [-1.58, 0.78] mm vs. model 2: [-1.39, 0.71] mm) in a Bland-Altman analysis. In one subject, we tested the reproducibility of the method by registering the forearm under five different poses obtaining a maximum coefficient of variation of 5.24% in the estimated wheal diameters. The proposed method delivers accurate and reproducible measurements of the SPT. © 2019 Pineda et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
publishDate |
2019 |
dc.date.issued.none.fl_str_mv |
2019 |
dc.date.accessioned.none.fl_str_mv |
2020-03-26T16:41:25Z |
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2020-03-26T16:41:25Z |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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Artículo |
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publishedVersion |
dc.identifier.citation.none.fl_str_mv |
Pineda J., Vargas R., Romero L.A., Marrugo J., Meneses J. y Marrugo A.G. (2019) Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting. PLoS ONE; Vol. 14, Núm. 10 |
dc.identifier.issn.none.fl_str_mv |
19326203 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/9240 |
dc.identifier.doi.none.fl_str_mv |
10.1371/journal.pone.0223623 |
dc.identifier.instname.none.fl_str_mv |
Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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identifier_str_mv |
Pineda J., Vargas R., Romero L.A., Marrugo J., Meneses J. y Marrugo A.G. (2019) Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting. PLoS ONE; Vol. 14, Núm. 10 19326203 10.1371/journal.pone.0223623 Universidad Tecnológica de Bolívar Repositorio UTB 57192270016 57117284600 36142156300 6507678324 7004348301 24329839300 |
url |
https://hdl.handle.net/20.500.12585/9240 |
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eng |
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2020-03-26T16:41:25Z2020-03-26T16:41:25Z2019Pineda J., Vargas R., Romero L.A., Marrugo J., Meneses J. y Marrugo A.G. (2019) Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting. PLoS ONE; Vol. 14, Núm. 1019326203https://hdl.handle.net/20.500.12585/924010.1371/journal.pone.0223623Universidad Tecnológica de BolívarRepositorio UTB5719227001657117284600361421563006507678324700434830124329839300The conventional reading of the skin prick test (SPT) for diagnosing allergies is prone to inter- and intra-observer variations. Drawing the contours of the skin wheals from the SPT and scanning them for computer processing is cumbersome. However, 3D scanning technology promises the best results in terms of accuracy, fast acquisition, and processing. In this work, we present a wide-field 3D imaging system for the 3D reconstruction of the SPT, and we propose an automated method for the measurement of the skin wheals. The automated measurement is based on pyramidal decomposition and parametric 3D surface fitting for estimating the sizes of the wheals directly. We proposed two parametric models for the diameter estimation. Model 1 is based on an inverted Elliptical Paraboloid function, and model 2 on a super-Gaussian function. The accuracy of the 3D imaging system was evaluated with validation objects obtaining transversal and depth accuracies within ± 0.1 mm and ± 0.01 mm, respectively. We tested the method on 80 SPTs conducted in volunteer subjects, which resulted in 61 detected wheals. We analyzed the accuracy of the models against manual reference measurements from a physician and obtained that the parametric model 2 on average yields diameters closer to the reference measurements (model 1: -0.398 mm vs. model 2: -0.339 mm) with narrower 95% limits of agreement (model 1: [-1.58, 0.78] mm vs. model 2: [-1.39, 0.71] mm) in a Bland-Altman analysis. In one subject, we tested the reproducibility of the method by registering the forearm under five different poses obtaining a maximum coefficient of variation of 5.24% in the estimated wheal diameters. The proposed method delivers accurate and reproducible measurements of the SPT. © 2019 Pineda et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS), COLCIENCIAS: 538871552485 C2018P018, C2018P005This study was supported by Colciencias (www.colciencias.gov.co, Grant 538871552485) and by Universidad Tecnol?gica de Bolivar (www.utb.edu.co, Grants C2018P005 and C2018P018), Colombia.Recurso electrónicoapplication/pdfengPublic Library of Sciencehttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073657466&doi=10.1371%2fjournal.pone.0223623&partnerID=40&md5=ccacdcda607a2c484a1f971f08da2268Scopus2-s2.0-85073657466Robust automated reading of the skin prick test via 3D imaging and parametric surface fittinginfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1AllergenAdultAllergic reactionArticleAutoanalysisBlomia tropicalisControlled studyDanderDermatophagoides farinaeDermatophagoides pteronyssinusDiagnostic accuracyDiagnostic test accuracy studyFemaleHumanImage reconstructionMalePeriplaneta americanaPrick testReproducibilitySkin manifestationThree dimensional imagingMulti-TestRPCPineda J.Vargas R.Romero L.A.Marrugo J.Meneses J.Marrugo A.G.Buyuktiryaki, B., Sahiner, U.M., Karabulut, E., Cavkaytar, O., Tuncer, A., Sekerel, B.E., Optimizing the use of a skin prick test device on children (2013) International Archives of Allergy and Immunology, 162 (1), pp. 65-70. , https://doi.org/10.1159/000350788, PMID: 23816800Venter, C., Arshad, S.H., Epidemiology of food allergy (2011) Pediatric Clinics of North America, 58 (2), pp. 327-349. , https://doi.org/10.1016/j.pcl.2011.02.011, PMID: 21453805Marrugo, J., Hernández, L., Villalba, V., Prevalence of self-reported food allergy in Cartagena (Colombia) population (2008) Allergologia Et Immunopathologia, 36 (6), pp. 320-324. , https://doi.org/10.1016/S0301-0546(08)75863-4, PMID: 19150030Tang, M.L.K., Mullins, R.J., Food allergy: Is prevalence increasing? 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