Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/100875
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dc.contributor.authorOliveira, Marina-
dc.contributor.authorAraújo, Helder-
dc.contributor.authorFigueiredo, Isabel N.-
dc.contributor.authorPinto, Luís-
dc.contributor.authorCurto, Eva-
dc.contributor.authorPerdigoto, Luís-
dc.date.accessioned2022-07-18T09:19:37Z-
dc.date.available2022-07-18T09:19:37Z-
dc.date.issued2021-
dc.identifier.issn2169-3536pt
dc.identifier.urihttps://hdl.handle.net/10316/100875-
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 dif cult 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 identi cation 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 dif cult 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.pt
dc.language.isoengpt
dc.relationProject PTDC/EMD-EMD/28960/2017pt
dc.relationFCT Ph.D. Scholarship 2020.06592pt
dc.relationFCT Grant UIDB/0048/2020pt
dc.relationFCT/MCTES Grant UIDB/00324/2020pt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectCapsule movementpt
dc.subjectdeep leaningpt
dc.subjectfeature extractionpt
dc.subjectimage-based localizationpt
dc.subjectoptical owpt
dc.subjectwireless capsule endoscopypt
dc.titleRegistration of Consecutive Frames From Wireless Capsule Endoscopy for 3D Motion Estimationpt
dc.typearticle-
degois.publication.firstPage119533pt
degois.publication.lastPage119545pt
degois.publication.titleIEEE Accesspt
dc.peerreviewedyespt
dc.identifier.doi10.1109/ACCESS.2021.3108234pt
degois.publication.volume9pt
dc.date.embargo2021-01-01*
uc.date.periodoEmbargo0pt
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypearticle-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.fulltextCom Texto completo-
item.languageiso639-1en-
crisitem.author.researchunitISR - Institute of Systems and Robotics-
crisitem.author.researchunitISR - Institute of Systems and Robotics-
crisitem.author.researchunitCMUC - Centre for Mathematics of the University of Coimbra-
crisitem.author.parentresearchunitUniversity of Coimbra-
crisitem.author.parentresearchunitUniversity of Coimbra-
crisitem.author.orcid0000-0001-9271-0357-
crisitem.author.orcid0000-0002-9544-424X-
crisitem.author.orcid0000-0002-0215-8851-
Appears in Collections:FCTUC Eng.Electrotécnica - Artigos em Revistas Internacionais
I&D ISR - Artigos em Revistas Internacionais
I&D CMUC - Artigos em Revistas Internacionais
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