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

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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
The 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.
Description

CCS Concepts: Applied computing -> Life and medical sciences; Computing methodologies -> Computer graphics; Mixed / augmented reality

        
@inproceedings{
10.2312:stag.20231291
, booktitle = {
Smart Tools and Applications in Graphics - Eurographics Italian Chapter Conference
}, editor = {
Banterle, Francesco
 and
Caggianese, Giuseppe
 and
Capece, Nicola
 and
Erra, Ugo
 and
Lupinetti, Katia
 and
Manfredi, Gilda
}, title = {{
Mixed Reality for Orthopedic Elbow Surgery Training and Operating Room Applications: A Preliminary Analysis
}}, author = {
Cangelosi, Antonio
 and
Riberi, Giacomo
 and
Salvi, Massimo
 and
Molinari, Filippo
 and
Titolo, Paolo
 and
Agus, Marco
 and
Calì, Corrado
}, year = {
2023
}, publisher = {
The Eurographics Association
}, ISSN = {
2617-4855
}, ISBN = {
978-3-03868-235-6
}, DOI = {
10.2312/stag.20231291
} }
Citation