Texture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patients

Pneumonia is a condition that can be life-threatening and affects a high number of children around the world. Lung ultrasound can be used for the diagnosis of pneumonia, but requires high experience. This paper presents an approach for pneumonia detection based on texture analysis of ultrasound imag...

Full description

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:20.500.12585/9153
Acceso en línea:
https://hdl.handle.net/20.500.12585/9153
Palabra clave:
Pneumonia
Texture analysis
Ultrasound imaging
Diagnosis
Image analysis
Textures
Ultrasonic imaging
Vision
Exploratory analysis
Lung ultrasound
Pediatric patients
Pneumonia
Texture analysis
Texture features
Ultrasound images
Ultrasound imaging
Image texture
Rights
restrictedAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
id UTB2_0ba8f50e4da3c7f550b34d64450f18df
oai_identifier_str oai:repositorio.utb.edu.co:20.500.12585/9153
network_acronym_str UTB2
network_name_str Repositorio Institucional UTB
repository_id_str
dc.title.none.fl_str_mv Texture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patients
title Texture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patients
spellingShingle Texture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patients
Pneumonia
Texture analysis
Ultrasound imaging
Diagnosis
Image analysis
Textures
Ultrasonic imaging
Vision
Exploratory analysis
Lung ultrasound
Pediatric patients
Pneumonia
Texture analysis
Texture features
Ultrasound images
Ultrasound imaging
Image texture
title_short Texture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patients
title_full Texture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patients
title_fullStr Texture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patients
title_full_unstemmed Texture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patients
title_sort Texture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patients
dc.subject.keywords.none.fl_str_mv Pneumonia
Texture analysis
Ultrasound imaging
Diagnosis
Image analysis
Textures
Ultrasonic imaging
Vision
Exploratory analysis
Lung ultrasound
Pediatric patients
Pneumonia
Texture analysis
Texture features
Ultrasound images
Ultrasound imaging
Image texture
topic Pneumonia
Texture analysis
Ultrasound imaging
Diagnosis
Image analysis
Textures
Ultrasonic imaging
Vision
Exploratory analysis
Lung ultrasound
Pediatric patients
Pneumonia
Texture analysis
Texture features
Ultrasound images
Ultrasound imaging
Image texture
description Pneumonia is a condition that can be life-threatening and affects a high number of children around the world. Lung ultrasound can be used for the diagnosis of pneumonia, but requires high experience. This paper presents an approach for pneumonia detection based on texture analysis of ultrasound images. Several measures were taken in healthy tissues and pneumonia lesions, and the most significant features were identified by statistical analysis. The results of the analysis of variance and exploratory analysis suggest that detection of pneumonia is possible based on image texture features. © 2019 IEEE.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019
dc.date.accessioned.none.fl_str_mv 2020-03-26T16:33:04Z
dc.date.available.none.fl_str_mv 2020-03-26T16:33:04Z
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_c94f
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.hasversion.none.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.spa.none.fl_str_mv Conferencia
status_str publishedVersion
dc.identifier.citation.none.fl_str_mv 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings
dc.identifier.isbn.none.fl_str_mv 9781728114910
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/9153
dc.identifier.doi.none.fl_str_mv 10.1109/STSIVA.2019.8730238
dc.identifier.instname.none.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.none.fl_str_mv Repositorio UTB
dc.identifier.orcid.none.fl_str_mv 57209529596
57209540733
56682770100
57209534730
57210822856
identifier_str_mv 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings
9781728114910
10.1109/STSIVA.2019.8730238
Universidad Tecnológica de Bolívar
Repositorio UTB
57209529596
57209540733
56682770100
57209534730
57210822856
url https://hdl.handle.net/20.500.12585/9153
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.conferencedate.none.fl_str_mv 24 April 2019 through 26 April 2019
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
dc.rights.cc.none.fl_str_mv Atribución-NoComercial 4.0 Internacional
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Atribución-NoComercial 4.0 Internacional
http://purl.org/coar/access_right/c_16ec
eu_rights_str_mv restrictedAccess
dc.format.medium.none.fl_str_mv Recurso electrónico
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.none.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068092598&doi=10.1109%2fSTSIVA.2019.8730238&partnerID=40&md5=8e6e8606e1550f0ed1795969ede9b409
Scopus2-s2.0-85068092598
institution Universidad Tecnológica de Bolívar
dc.source.event.none.fl_str_mv 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019
bitstream.url.fl_str_mv https://repositorio.utb.edu.co/bitstream/20.500.12585/9153/1/MiniProdInv.png
bitstream.checksum.fl_str_mv 0cb0f101a8d16897fb46fc914d3d7043
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio Institucional UTB
repository.mail.fl_str_mv repositorioutb@utb.edu.co
_version_ 1814021566734794752
spelling 2020-03-26T16:33:04Z2020-03-26T16:33:04Z20192019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings9781728114910https://hdl.handle.net/20.500.12585/915310.1109/STSIVA.2019.8730238Universidad Tecnológica de BolívarRepositorio UTB5720952959657209540733566827701005720953473057210822856Pneumonia is a condition that can be life-threatening and affects a high number of children around the world. Lung ultrasound can be used for the diagnosis of pneumonia, but requires high experience. This paper presents an approach for pneumonia detection based on texture analysis of ultrasound images. Several measures were taken in healthy tissues and pneumonia lesions, and the most significant features were identified by statistical analysis. The results of the analysis of variance and exploratory analysis suggest that detection of pneumonia is possible based on image texture features. © 2019 IEEE.IEEE Colombia Section;IEEE Signal Processing Society Colombia Chapter;Universidad Industrial de SantanderRecurso electrónicoapplication/pdfengInstitute of Electrical and Electronics Engineers Inc.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85068092598&doi=10.1109%2fSTSIVA.2019.8730238&partnerID=40&md5=8e6e8606e1550f0ed1795969ede9b409Scopus2-s2.0-8506809259822nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019Texture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patientsinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fPneumoniaTexture analysisUltrasound imagingDiagnosisImage analysisTexturesUltrasonic imagingVisionExploratory analysisLung ultrasoundPediatric patientsPneumoniaTexture analysisTexture featuresUltrasound imagesUltrasound imagingImage texture24 April 2019 through 26 April 2019Contreras Ojeda, SaraSierra-Pardo C.Domínguez Jiménez, Juan AntonioLópez-Bueno J.Contreras Ortiz, Sonia HelenaOrganization, W.H., (2016) Pneumonia, , https://www.who.int/news-room/factsheets/detail/pneumonia, last accessed 18 September 2019DerSarkissian, C., (2017) What Is Pneumonia?, , https://www.webmd.com/lung/understandingpneumonia-basics, last accessed 18 September 2019Scott, J.A.G., Wonodi, C., Möisi, J.C., Deloria-Knoll, M., Deluca, A.N., Karron, R.A., Bhat, N., Feikin, D.R., The definition of pneumonia, the assessment of severity, and clinical standardization in the pneumonia etiology research for child health study (2012) Clinical Infectious Diseases, 54Cisneros-Velarde, P., Correa, M., Mayta, H., Anticona, C., Pajuelo, M., Oberhelman, R., Checkley, W., Castaneda, B., Automatic pneumonia detection based on ultrasound video analysis (2016) Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2016, pp. 4117-4120. , OctobHew, M., Tay, T.R., The efficacy of bedside chest ultrasound: From accuracy to outcomes (2016) European Respiratory Review, 25 (141), pp. 230-246. , http://dx.doi.org/10.1183/16000617.0047-2016Claes, A.-S., Clapuyt, P., Menten, R., Michoux, N., Dumitriu, D., Performance of chest ultrasound in pediatric pneumonia (2016) European Journal of Radiology, , http://dx.doi.org/10.1016/j.ejrad.2016.12.032Zenteno, O., Castaneda, B., Lavarello, R., Spectralbased pneumonia detection tool using ultrasound data from pediatric populations (2016) Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2016, pp. 4129-4132. , OctobBonet-Carne, E., Palacio, M., Cobo, T., Perez-Moreno, A., Lopez, M., Piraquive, J.P., Ramirez, J.C., Gratacos, E., Quantitative ultrasound texture analysis of fetal lungs to predict neonatal respiratory morbidity (2015) Ultrasound in Obstetrics and Gynecology, 45 (4), pp. 427-433(2018) Automatic Lung Ultrasound B-line Recognition in Pediatric Populations for the Detection of Pneumonia, , https://doi.org/10.1117/12.2293902, 10574http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9153/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/9153oai:repositorio.utb.edu.co:20.500.12585/91532023-05-26 16:00:28.234Repositorio Institucional UTBrepositorioutb@utb.edu.co

Publicaciones similares