dc.contributor.author | Iversen, Daniel Høyer | |
dc.contributor.author | Wein, Wolfgang | |
dc.contributor.author | Lindseth, Frank | |
dc.contributor.author | Unsgård, Geirmund | |
dc.contributor.author | Reinertsen, Ingerid | |
dc.date.accessioned | 2019-04-03T12:18:40Z | |
dc.date.available | 2019-04-03T12:18:40Z | |
dc.date.created | 2018-10-23T12:31:12Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | World Neurosurgery. 2018, 120 e1071-e1078. | nb_NO |
dc.identifier.issn | 1878-8750 | |
dc.identifier.uri | http://hdl.handle.net/11250/2593170 | |
dc.description.abstract | Background Unreliable neuronavigation owing to inaccurate patient-to-image registration and brain shift is a major problem in conventional magnetic resonance imaging–guided neurosurgery. We performed a prospective intraoperative validation of a system for fully automatic correction of this inaccuracy based on intraoperative three-dimensional ultrasound and magnetic resonance imaging-to-ultrasound registration. Methods The system was tested intraoperatively in 13 tumor resection cases, and performance was evaluated intraoperatively and postoperatively. Results Intraoperatively, the system was accurate enough for tumor resection guidance in 9 of 13 cases. Manually placed anatomic landmarks showed improvement of alignment from 5.12 mm to 2.72 mm (median) after intraoperative correction. Postoperatively, the limitations of the current system were identified and modified for the system to be sufficiently accurate in all cases. Conclusions Automatic and accurate correction of spatially unreliable neuronavigation is feasible within the constraints of surgery. The current limitations of the system were also identified and addressed. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Elsevier | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Automatic Intraoperative Correction of Brain Shift for Accurate Neuronavigation | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | e1071-e1078 | nb_NO |
dc.source.volume | 120 | nb_NO |
dc.source.journal | World Neurosurgery | nb_NO |
dc.identifier.doi | 10.1016/j.wneu.2018.09.012 | |
dc.identifier.cristin | 1622620 | |
dc.description.localcode | © 2018. This is the authors’ accepted and refereed manuscript to the article. Locked until 11.9.2019 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | nb_NO |
cristin.unitcode | 194,65,25,0 | |
cristin.unitcode | 194,63,10,0 | |
cristin.unitcode | 194,65,30,0 | |
cristin.unitname | Institutt for sirkulasjon og bildediagnostikk | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.unitname | Institutt for nevromedisin og bevegelsesvitenskap | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |