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dc.contributor.authorTeatini, Andrea
dc.contributor.authorWang, Congcong
dc.contributor.authorPalomar, Rafael
dc.contributor.authorAlaya Cheikh, Faouzi
dc.contributor.authorEdwin, Bjørn
dc.contributor.authorElle, Ole Jacob
dc.date.accessioned2019-04-29T09:27:27Z
dc.date.available2019-04-29T09:27:27Z
dc.date.created2019-01-28T12:29:20Z
dc.date.issued2018
dc.identifier.citation2018 Colour and Visual Computing Symposium (CVCS); 19th and 20th September, 2018, Gjøvik, Norwaynb_NO
dc.identifier.isbn978-1-5386-5645-7
dc.identifier.urihttp://hdl.handle.net/11250/2595891
dc.description.abstractImage guided surgery systems aim to provide navigation to surgeons in order to improve accuracy and safety of the procedures. Through stereo reconstruction algorithms, it is possible to generate 3D surfaces intra-operatively by means of a laparoscopic stereo-camera. This study aims to setup a simulation system and quantitatively validate a recent proposed reconstruction algorithm with application to laparoscopic liver resection surgery. The intra-operative surface will be used to guide model to patient registration. This will also improve accuracy of the navigation by correcting intra-operative deformations of the liver, such as those due to pneumoperitoneum. The accuracy results of the reconstruction method was found to be 3.7±0.8 mm in terms of Hausdorff distance. The validation therefore indicates the feasibility and accuracy of the surface reconstruction method.nb_NO
dc.language.isoengnb_NO
dc.publisherIEEEnb_NO
dc.relation.ispartof2018 Colour and Visual Computing Symposium (CVCS); 19th and 20th September, 2018, Gjøvik, Norway
dc.titleValidation of stereo vision based liver surface reconstruction for image guided surgerynb_NO
dc.typeChapternb_NO
dc.description.versionsubmittedVersionnb_NO
dc.identifier.doi10.1109/CVCS.2018.8496589
dc.identifier.cristin1666201
dc.description.localcode© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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