Show simple item record

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.identifier.isbn978-3-03868-235-6
dc.identifier.issn2617-4855
dc.identifier.urihttps://doi.org/10.2312/stag.20231291
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/stag20231291
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.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
dc.description.seriesinformationSmart Tools and Applications in Graphics - Eurographics Italian Chapter Conference
dc.description.sectionheadersXR Experiences Design
dc.identifier.doi10.2312/stag.20231291
dc.identifier.pages13-21
dc.identifier.pages9 pages


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License