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https://hdl.handle.net/1822/61989
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Lourenço, Miguel | por |
dc.contributor.author | Barreto, João P. | por |
dc.contributor.author | Fonseca, Fernando | por |
dc.contributor.author | Ferreira, Hélder | por |
dc.contributor.author | Duarte, Rui M. | por |
dc.contributor.author | Correia-Pinto, Jorge | por |
dc.date.accessioned | 2019-11-08T15:37:59Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Lourenço, M., Barreto, J. P., Fonseca, F., Ferreira, H., Duarte, R. M., & Correia-Pinto, J. (2014, September). Continuous zoom calibration by tracking salient points in endoscopic video. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 456-463). Springer, Cham. | por |
dc.identifier.isbn | 978-3-319-10403-4 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://hdl.handle.net/1822/61989 | - |
dc.description.abstract | Many image-based systems for aiding the surgeon during minimally invasive surgery require the endoscopic camera to be calibrated at all times. This article proposes a method for accomplishing this goal whenever the camera has optical zoom and the focal length changes during the procedure. Our solution for online calibration builds on recent developments in tracking salient points using differential image alignment, is well suited for continuous operation, and makes no assumptions about the camera motion or scene rigidity. Experimental validation using both a phantom model and in vivo data shows that the method enables accurate estimation of focal length when the zoom varies, avoiding the need to explicitly recalibrate during surgery. To the best of our knowledge this the first work proposing a practical solution for online zoom calibration in the operation room. | por |
dc.description.sponsorship | Miguel Lourenco and Joao Barreto want to thank QREN-Mais Centro by generous funding through Novas Tecnologias para apoio a Saude e Qualidade de Vida, Projecto A- Cirurgia e Diagnostico Assistido por Computador Usando Imagem and the Portuguese Science Foundation by funding through grant SFRH/BD/63118/2009. | por |
dc.language.iso | eng | por |
dc.publisher | Springer | por |
dc.rights | closedAccess | por |
dc.subject | Anatomic Landmarks | por |
dc.subject | Animals | por |
dc.subject | Calibration | por |
dc.subject | Hysteroscopy | por |
dc.subject | Image Enhancement | por |
dc.subject | Microscopy, Video | por |
dc.subject | Pattern Recognition, Automated | por |
dc.subject | Phantoms, Imaging | por |
dc.subject | Portugal | por |
dc.subject | Reproducibility of Results | por |
dc.subject | Sensitivity and Specificity | por |
dc.subject | Swine | por |
dc.subject | Video Recording | por |
dc.title | Continuous zoom calibration by tracking salient points in endoscopic video | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-10404-1_57#citeas | por |
oaire.citationStartPage | 456 | por |
oaire.citationEndPage | 463 | por |
oaire.citationIssue | PART 1 | por |
oaire.citationConferencePlace | Shenzhen, China | por |
oaire.citationVolume | 8673 | por |
dc.identifier.doi | 10.1007/978-3-319-10404-1_57 | por |
dc.date.embargo | 10000-01-01 | - |
dc.identifier.eisbn | 978-3-319-10404-1 | - |
dc.subject.fos | Ciências Médicas::Medicina Básica | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Lecture Notes in Computer Science | por |
sdum.conferencePublication | MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2014, PT I | por |
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10.1007@978-3-319-10404-157.pdf Acesso restrito! | 1,26 MB | Adobe PDF | Ver/Abrir |