Mixed Reality for Orthopedic Elbow Surgery Training and Operating Room Applications: A Preliminary Analysis

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dc.contributor.authorCangelosi, Antonioen_US
dc.contributor.authorRiberi, Giacomoen_US
dc.contributor.authorSalvi, Massimoen_US
dc.contributor.authorMolinari, Filippoen_US
dc.contributor.authorTitolo, Paoloen_US
dc.contributor.authorAgus, Marcoen_US
dc.contributor.authorCalì, Corradoen_US
dc.contributor.editorBanterle, Francescoen_US
dc.contributor.editorCaggianese, Giuseppeen_US
dc.contributor.editorCapece, Nicolaen_US
dc.contributor.editorErra, Ugoen_US
dc.contributor.editorLupinetti, Katiaen_US
dc.contributor.editorManfredi, Gildaen_US
dc.date.accessioned2023-11-12T15:37:33Z
dc.date.available2023-11-12T15:37:33Z
dc.date.issued2023
dc.description.abstractThe use of Mixed Reality in medicine is widely documented to be a candidate to revolutionize surgical interventions. In this paper we present a system to simulate k-wire placement, that is a common orthopedic procedure used to stabilize fractures, dislocations, and other traumatic injuries.With the described system, it is possible to leverage Mixed Reality (MR) and advanced visualization techniques applied on a surgical simulation phantom to enhance surgical training and critical orthopedic surgical procedures. This analysis is centered on evaluating the precision and proficiency of k-wire placement in an elbow surgical phantom, designed with a 3D modeling software starting from a virtual 3D anatomical reference. By visually superimposing 3D reconstructions of internal structures and the target K-wire positioning on the physical model, it is expected not only to improve the learning curve but also to establish a foundation for potential real-time surgical guidance in challenging clinical scenarios. The performance is measured as the difference between K-wires real placement in respect to target position; the quantitative measurements are then used to compare the risk of iatrogenic injury to nerves and vascular structures of MRguided vs non MR-guided simulated interventions.en_US
dc.description.sectionheadersXR Experiences Design
dc.description.seriesinformationSmart Tools and Applications in Graphics - Eurographics Italian Chapter Conference
dc.identifier.doi10.2312/stag.20231291
dc.identifier.isbn978-3-03868-235-6
dc.identifier.issn2617-4855
dc.identifier.pages13-21
dc.identifier.pages9 pages
dc.identifier.urihttps://doi.org/10.2312/stag.20231291
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/stag20231291
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Applied computing -> Life and medical sciences; Computing methodologies -> Computer graphics; Mixed / augmented reality
dc.subjectApplied computing
dc.subjectLife and medical sciences
dc.subjectComputing methodologies
dc.subjectComputer graphics
dc.subjectMixed / augmented reality
dc.titleMixed Reality for Orthopedic Elbow Surgery Training and Operating Room Applications: A Preliminary Analysisen_US
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