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Wireless Capsule Endoscope Location and a Robotic Validation Experiment

2019-09-25Conference paper Open access
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Médica
datacite.subject.fosEngenharia e Tecnologia::Engenharia Química
dc.contributor.authorFigueiredo, Isabel N.
dc.contributor.authorPinto, Luís
dc.contributor.authorPerdigoto, Luís
dc.contributor.authorOliveira, Marina
dc.contributor.authorAraújo, Hélder
dc.contributor.authorFigueiredo, Pedro N.
dc.date.accessioned2025-10-21T17:22:09Z
dc.date.available2025-10-21T17:22:09Z
dc.date.issued2019-09-25
dc.descriptionEISBN - 9783030316358
dc.descriptionConference name - 15th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2019; Conference date - 26 September 2019 - 28 September 2019; Conference code - 232529
dc.descriptionFonte: https://scholar.google.com/scholar?q=Wireless%20Capsule%20Endoscope%20Location%20and%20a%20Robotic%20Validation%20Experiment&google_abuse=GOOGLE_ABUSE_EXEMPTION%3DID%3Dd5f75ffaf1e34bfc:TM%3D1761064433:C%3Dr:IP%3D194.210.216.121-:S%3DfC_FYleQI85RdQy5YwLh5bI%3B+path%3D/%3B+domain%3Dgoogle.com%3B+expires%3DTue,+21-Oct-2025+19:33:53+GMT
dc.description.abstractWe present results concerning the validation of a novel approach for wireless capsule endoscope localization, using as ground truth a simulated biological/mechanical environment experiment. The approach relies essentially on image-based methods. It involves a hybrid multi-scale affine and elastic image registration procedure which is afterwards appropriately complemented with calibration and visual odometry techniques. The capsule was fixed at the extremity of a robotic arm and moved along a part of an ex-vivo mammalian bowel. The first validation results indicate a good correlation between the ground truth velocity and distance traveled by the capsule and the velocity and distance given by the proposed approach.eng
dc.description.sponsorshipThis work was supported by the FCT (Fundação para a Ciência e a Tecnologia, Portugal) research project PTDC/EMD-EMD/28960/2017, and also partially by the FCT grant UID/MAT/00324/2019.
dc.identifier.citationFigueiredo, I.N., Pinto, L., Perdigoto, L., Oliveira, M., Araújo, H., Figueiredo, P.N. (2020). Wireless Capsule Endoscope Location and a Robotic Validation Experiment. In: Henriques, J., Neves, N., de Carvalho, P. (eds) XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. MEDICON 2019. IFMBE Proceedings, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-31635-8_166.
dc.identifier.doi10.1007/978-3-030-31635-8_166
dc.identifier.eissn1433-9277
dc.identifier.isbn9783030316341
dc.identifier.isbn9783030316358
dc.identifier.issn1680-0737
dc.identifier.urihttp://hdl.handle.net/10400.8/14348
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationMULTI-CAM CAPSULE ENDOSCOPY IMAGERY: 3D CAPSULE LOCATION AND DETECTION OF ABNORMALITIES
dc.relationCenter for Mathematics, University of Coimbra
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-030-31635-8_166
dc.relation.ispartofIFMBE Proceedings
dc.relation.ispartofXV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019
dc.rights.uriN/A
dc.subjectImage processing
dc.subjectImage registration
dc.subjectCalibration
dc.subjectVisual odometry
dc.subjectEndoscopy
dc.titleWireless Capsule Endoscope Location and a Robotic Validation Experimenteng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleMULTI-CAM CAPSULE ENDOSCOPY IMAGERY: 3D CAPSULE LOCATION AND DETECTION OF ABNORMALITIES
oaire.awardTitleCenter for Mathematics, University of Coimbra
oaire.awardURIhttp://hdl.handle.net/10400.8/14347
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMAT%2F00324%2F2019/PT
oaire.citation.conferenceDate2019-09
oaire.citation.conferencePlaceCoimbra, Portugal
oaire.citation.endPage1365
oaire.citation.startPage1361
oaire.citation.titleIFMBE Proceedings
oaire.citation.volume76
oaire.fundingStreamConcurso para Financiamento de Projetos de Investigação Científica e Desenvolvimento Tecnológico em Todos os Domínios Científicos - 2017
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePerdigoto
person.givenNameLuis
person.identifier.orcid0000-0002-2626-3154
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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relation.isAuthorOfPublication.latestForDiscovery21974cb3-96e9-4071-bbd1-149f86160821
relation.isProjectOfPublication6c735076-ba65-4e04-8450-7225d87afc2a
relation.isProjectOfPublication4414d560-f34f-4920-8c43-c9101f04ad9e
relation.isProjectOfPublication.latestForDiscovery6c735076-ba65-4e04-8450-7225d87afc2a

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We present results concerning the validation of a novel approach for wireless capsule endoscope localization, using as ground truth a simulated biological/mechanical environment experiment. The approach relies essentially on image-based methods. It involves a hybrid multi-scale affine and elastic image registration procedure which is afterwards appropriately complemented with calibration and visual odometry techniques. The capsule was fixed at the extremity of a robotic arm and moved along a part of an ex-vivo mammalian bowel. The first validation results indicate a good correlation between the ground truth velocity and distance traveled by the capsule and the velocity and distance given by the proposed approach.
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