dc.date.accessioned | 2020-04-11T19:24:17Z | |
dc.date.available | 2020-04-11T19:24:17Z | |
dc.date.created | 2019-07-12T17:41:16Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Pelanis, Egidijus Kumar, Rahul Prasanna Aghayan, Davit Palomar, Rafael Fretland, Åsmund Avdem Brun, Henrik Elle, Ole Jacob Edwin, Bjørn . Use of mixed reality for improved spatial understanding of liver anatomy. MITAT. Minimally invasive therapy & allied technologies. 2019, 1-7 | |
dc.identifier.uri | http://hdl.handle.net/10852/74493 | |
dc.description.abstract | Introduction: In liver surgery, medical images from pre-operative computed tomography and magnetic resonance imaging are the basis for the decision-making process. These images are used in surgery planning and guidance, especially for parenchyma-sparing hepatectomies. Though medical images are commonly visualized in two dimensions (2D), surgeons need to mentally reconstruct this information in three dimensions (3D) for a spatial understanding of the anatomy. The aim of this work is to investigate whether the use of a 3D model visualized in mixed reality with Microsoft HoloLens increases the spatial understanding of the liver, compared to the conventional way of using 2D images.
Material and methods: In this study, clinicians had to identify liver segments associated to lesions.
Results: Twenty-eight clinicians with varying medical experience were recruited for the study. From a total of 150 lesions, 89 were correctly assigned without significant difference between the modalities. The median time for correct identification was 23.5 [4–138] s using the magnetic resonance imaging images and 6.00 [1–35] s using HoloLens (p < 0.001).
Conclusions: The use of 3D liver models in mixed reality significantly decreases the time for tasks requiring a spatial understanding of the organ. This may significantly decrease operating time and improve use of resources. | |
dc.language | EN | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.title | Use of mixed reality for improved spatial understanding of liver anatomy | |
dc.type | Journal article | |
dc.creator.author | Pelanis, Egidijus | |
dc.creator.author | Kumar, Rahul Prasanna | |
dc.creator.author | Aghayan, Davit | |
dc.creator.author | Palomar, Rafael | |
dc.creator.author | Fretland, Åsmund Avdem | |
dc.creator.author | Brun, Henrik | |
dc.creator.author | Elle, Ole Jacob | |
dc.creator.author | Edwin, Bjørn | |
cristin.unitcode | 185,53,60,11 | |
cristin.unitname | Intervensjonssenteret | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |
dc.identifier.cristin | 1711371 | |
dc.identifier.bibliographiccitation | info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=MITAT. Minimally invasive therapy & allied technologies&rft.volume=&rft.spage=1&rft.date=2019 | |
dc.identifier.jtitle | MITAT. Minimally invasive therapy & allied technologies | |
dc.identifier.startpage | 1 | |
dc.identifier.endpage | 7 | |
dc.identifier.doi | https://doi.org/10.1080/13645706.2019.1616558 | |
dc.identifier.urn | URN:NBN:no-77591 | |
dc.type.document | Tidsskriftartikkel | |
dc.type.peerreviewed | Peer reviewed | |
dc.source.issn | 1364-5706 | |
dc.identifier.fulltext | Fulltext https://www.duo.uio.no/bitstream/handle/10852/74493/2/Pelanis%2Bet%2Bal.pdf | |
dc.type.version | PublishedVersion | |