Projection Mapping for In-Situ Surgery Planning by the Example of DIEP Flap Breast Reconstruction

dc.contributor.authorMartschinke, Janaen_US
dc.contributor.authorKlein, Vanessaen_US
dc.contributor.authorKurth, Philippen_US
dc.contributor.authorEngel, Klausen_US
dc.contributor.authorLudolph, Ingoen_US
dc.contributor.authorHauck, Theresaen_US
dc.contributor.authorHorch, Raymunden_US
dc.contributor.authorStamminger, Marcen_US
dc.contributor.editorOeltze-Jafra, Steffen and Smit, Noeska N. and Sommer, Björn and Nieselt, Kay and Schultz, Thomasen_US
dc.date.accessioned2021-09-21T08:09:57Z
dc.date.available2021-09-21T08:09:57Z
dc.date.issued2021
dc.description.abstractNowadays, many surgical procedures require preoperative planning, mostly relying on data from 3D imaging techniques like computed tomography or magnetic resonance imaging. However, preoperative assessment of this data is carried out on the PC (using classical CT/MR viewing software) and not on the patient's body itself. Therefore, surgeons need to transfer both their overall understanding of the patient's individual anatomy and also specific markers and labels for important points from the PC to the patient only with the help of imaginative power or approximative measurement. In order to close the gap between preoperative planning on the PC and surgery on the patient, we propose a system to directly project preoperative knowledge to the body surface by projection mapping. As a result, we are able to display both assigned labels and a volumetric and view-dependent view of the 3D data in-situ. Furthermore, we offer a method to interactively navigate through the data and add 3D markers directly in the projected volumetric view. We demonstrate the benefits of our approach using DIEP flap breast reconstruction as an example. By means of a small pilot study, we show that our method outperforms standard surgical planning in accuracy and can easily be understood and utilized even by persons without any medical knowledge.en_US
dc.description.sectionheadersConspiring to cut people open
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20211354
dc.identifier.isbn978-3-03868-140-3
dc.identifier.issn2070-5786
dc.identifier.pages145-153
dc.identifier.urihttps://doi.org/10.2312/vcbm.20211354
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20211354
dc.publisherThe Eurographics Associationen_US
dc.subjectApplied computing
dc.subjectHealth informatics
dc.subjectComputing methodologies
dc.subjectRay tracing
dc.subjectMixed / augmented reality
dc.titleProjection Mapping for In-Situ Surgery Planning by the Example of DIEP Flap Breast Reconstructionen_US
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