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Registration of Consecutive Frames From Wireless Capsule Endoscopy for 3D Motion Estimation

2021-09-03Artigo científico Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosCiências Naturais::Outras Ciências Naturais
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorOliveira, Marina
dc.contributor.authorAraujo, Helder
dc.contributor.authorFigueiredo, Isabel N.
dc.contributor.authorPinto, Luís
dc.contributor.authorCurto, Eva
dc.contributor.authorPerdigoto, Luís
dc.date.accessioned2026-05-06T17:12:45Z
dc.date.available2026-05-06T17:12:45Z
dc.date.issued2021-09-03
dc.description.abstractWireless Capsule Endoscopy (WCE) is a non-invasive medical procedure devised for painless in vivo inspection of the gastrointestinal (GI) tract. It is especially valuable for the examination of the small intestine since it is difficult to reach by traditional endoscopic procedures. The setup includes a camera with an embedded light source and a circuit capable of acquiring and transmitting the video. The main challenge of this technology is the identification of the position and trajectory of the capsule as it travels through the GI tract, which is particularly relevant during the detection of anomalies in the tissue. Given only the information provided by the recorded images, it is possible to estimate the 3D motion of the camera capsule and provide a full trajectory reconstruction. A critical yet difficult step in this process is the image registration between sequential frames. Therefore, being able to determine accurate correspondences between points, regions or features in two consecutive frames is crucial for the computation of the relative rotation and translation of the capsule. This paper comprises a comparative assessment of methodologies to address this problem with a porcine colon dataset obtained with our experimental setup.eng
dc.description.sponsorshipThis work was supported in part by the Research Project PTDC/EMD-EMD/28960/2017, entitled "Multi-Cam Capsule Endoscopy Imagery: 3D Capsule Location and Detection of Abnormalities'' and the Ph.D. Scholarship 2020.06592.BD through the Fundação para a Ciência e a Tecnologia (FCT), Portugal, in part by the Institute of Systems and Robotics-University of Coimbra (ISR-Coimbra) under Grant UIDB/0048/2020, and in part by the Centre for Mathematics, University of Coimbra (CMUC), funded by the Portuguese Government through FCT/Ministério da Ciência, Tecnologia e Ensino Superior (MCTES) under Grant UIDB/00324/2020.
dc.identifier.citationM. Oliveira, H. Araujo, I. N. Figueiredo, L. Pinto, E. Curto and L. Perdigoto, "Registration of Consecutive Frames From Wireless Capsule Endoscopy for 3D Motion Estimation," in IEEE Access, vol. 9, pp. 119533-119545, 2021, doi: https://doi.org/10.1109/ACCESS.2021.3108234.
dc.identifier.doi10.1109/access.2021.3108234
dc.identifier.eissn2169-3536
dc.identifier.urihttp://hdl.handle.net/10400.8/16245
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relationMULTI-CAM CAPSULE ENDOSCOPY IMAGERY: 3D CAPSULE LOCATION AND DETECTION OF ABNORMALITIES
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/9523833
dc.relation.ispartofIEEE Access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCapsule movement
dc.subjectdeep leaning
dc.subjectfeature extraction
dc.subjectimage-based localization
dc.subjectoptical ow
dc.subjectwireless capsule endoscopy
dc.titleRegistration of Consecutive Frames From Wireless Capsule Endoscopy for 3D Motion Estimationeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberPTDC/EMD-EMD/28960/2017
oaire.awardTitleMULTI-CAM CAPSULE ENDOSCOPY IMAGERY: 3D CAPSULE LOCATION AND DETECTION OF ABNORMALITIES
oaire.awardURIhttp://hdl.handle.net/10400.8/14347
oaire.citation.endPage119545
oaire.citation.startPage119533
oaire.citation.titleIEEE Access
oaire.citation.volume9
oaire.fundingStreamConcurso para Financiamento de Projetos de Investigação Científica e Desenvolvimento Tecnológico em Todos os Domínios Científicos - 2017
oaire.versionhttp://purl.org/coar/version/c_dc82b40f9837b551
person.familyNamePerdigoto
person.givenNameLuis
person.identifier.orcid0000-0002-2626-3154
relation.isAuthorOfPublication21974cb3-96e9-4071-bbd1-149f86160821
relation.isAuthorOfPublication.latestForDiscovery21974cb3-96e9-4071-bbd1-149f86160821
relation.isProjectOfPublication6c735076-ba65-4e04-8450-7225d87afc2a
relation.isProjectOfPublication.latestForDiscovery6c735076-ba65-4e04-8450-7225d87afc2a

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Wireless Capsule Endoscopy (WCE) is a non-invasive medical procedure devised for painless in vivo inspection of the gastrointestinal (GI) tract. It is especially valuable for the examination of the small intestine since it is difficult to reach by traditional endoscopic procedures. The setup includes a camera with an embedded light source and a circuit capable of acquiring and transmitting the video. The main challenge of this technology is the identification of the position and trajectory of the capsule as it travels through the GI tract, which is particularly relevant during the detection of anomalies in the tissue. Given only the information provided by the recorded images, it is possible to estimate the 3D motion of the camera capsule and provide a full trajectory reconstruction. A critical yet difficult step in this process is the image registration between sequential frames. Therefore, being able to determine accurate correspondences between points, regions or features in two consecutive frames is crucial for the computation of the relative rotation and translation of the capsule. This paper comprises a comparative assessment of methodologies to address this problem with a porcine colon dataset obtained with our experimental setup.
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