Cangelosi, AntonioRiberi, GiacomoSalvi, MassimoMolinari, FilippoTitolo, PaoloAgus, MarcoCalì, CorradoBanterle, FrancescoCaggianese, GiuseppeCapece, NicolaErra, UgoLupinetti, KatiaManfredi, Gilda2023-11-122023-11-122023978-3-03868-235-62617-4855https://doi.org/10.2312/stag.20231291https://diglib.eg.org:443/handle/10.2312/stag20231291The 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.Attribution 4.0 International LicenseCCS Concepts: Applied computing -> Life and medical sciences; Computing methodologies -> Computer graphics; Mixed / augmented realityApplied computingLife and medical sciencesComputing methodologiesComputer graphicsMixed / augmented realityMixed Reality for Orthopedic Elbow Surgery Training and Operating Room Applications: A Preliminary Analysis10.2312/stag.2023129113-219 pages