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A low resource skeleton maturation estimation system for automatic hand X-Ray assessment in pediatric applications

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dc.contributor.authorCampos, Ana
dc.contributor.authorSilva, Maria
dc.contributor.authorAzeredo, Ricardo
dc.contributor.authorCoelho, Luis
dc.contributor.authorReis, Sara
dc.contributor.authorAbreu, Sílvia
dc.date.accessioned2024-05-03T15:00:12Z
dc.date.available2024-05-03T15:00:12Z
dc.date.issued2023
dc.description.abstractThe assessment of differences between skeletal age and chronological age in childhood is often based on the comparison of the patient's left hand x-ray with a reference atlas, performed by a experienced professional. This procedure involves a manual image analysis, that can be subject to inter rater variability posing several problems for clinical applications. In this paper a new methodology for skeleton maturation estimation based on automatic hand X-ray assessment for pediatric applications on a low resource devices (e.g. mobile device) is proposed. The pipeline covers hand-area estimation and bone-area estimation to achieve maturation scores which are then indexed with references images, separately for male and female. The proposed approach is based on simple image processing functions always bearing in mind the application on a mobile context. The involved steps are thoroughly presented and all the used functions are explained. The performance of the system was then evaluated using the complete pipeline. The obtained results pointed to an average error rate of 15,38±3,31%, which is subject to improvements. In particular, contrast enhancement in some lower quality images still offers some challenges.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.citationA. Campos, M. Silva, R. Azeredo, L. Coelho, S. Reis and S. Abreu, "A Low Resource Skeleton Maturation Estimation System for Automatic Hand X-Ray Assessment in Pediatric Applications," 2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG), Porto, Portugal, 2023, pp. 120-123, doi: 10.1109/ENBENG58165.2023.10175334.pt_PT
dc.identifier.doi10.1109/ENBENG58165.2023.10175334pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/25466
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationINESC TEC - Institute for Systems and Computer Engineering, Technology and Science (INESC TEC)
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/10175334pt_PT
dc.subjectBone agept_PT
dc.subjectSkeleton maturationpt_PT
dc.subjectX-Raypt_PT
dc.subjectImage processingpt_PT
dc.titleA low resource skeleton maturation estimation system for automatic hand X-Ray assessment in pediatric applicationspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleINESC TEC - Institute for Systems and Computer Engineering, Technology and Science (INESC TEC)
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0063%2F2020/PT
oaire.citation.conferencePlacePorto, Portugalpt_PT
oaire.citation.endPage123pt_PT
oaire.citation.startPage120pt_PT
oaire.citation.titleENBENG 2023 - 7th IEEE Portuguese Meeting on Bioengineering, June 22-23pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameCoelho
person.familyNameSeabra dos Reis
person.givenNameLuis
person.givenNameSara
person.identifier721155
person.identifier.ciencia-id9B14-241F-3743
person.identifier.ciencia-idF41A-6E80-8361
person.identifier.orcid0000-0002-5673-7306
person.identifier.orcid0000-0002-3416-2257
person.identifier.ridC-9695-2015
person.identifier.scopus-author-id55027243400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication5d1adee2-3e4c-4c07-a88e-0887653056dd
relation.isAuthorOfPublication27493a08-3eb7-4d61-be68-770bf5fa00e3
relation.isAuthorOfPublication.latestForDiscovery5d1adee2-3e4c-4c07-a88e-0887653056dd
relation.isProjectOfPublicationb49886f4-f1ba-4508-a7a6-394627e030a2
relation.isProjectOfPublication.latestForDiscoveryb49886f4-f1ba-4508-a7a6-394627e030a2

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