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Augmented reality visualization of deformable tubular structures for surgical simulation
Author(s) -
Ferrari Vincenzo,
Viglialoro Rosanna Maria,
Nicoli Paola,
Cutolo Fabrizio,
Condino Sara,
Carbone Marina,
Siesto Mentore,
Ferrari Mauro
Publication year - 2016
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.1681
Subject(s) - visualization , computer science , augmented reality , surgical simulation , virtual reality , forceps , computer graphics (images) , computer vision , artificial intelligence , surgery , medicine
Abstract Background Surgical simulation based on augmented reality (AR), mixing the benefits of physical and virtual simulation, represents a step forward in surgical training. However, available systems are unable to update the virtual anatomy following deformations impressed on actual anatomy. Methods A proof‐of‐concept solution is described providing AR visualization of hidden deformable tubular structures using nitinol tubes sensorized with electromagnetic sensors. This system was tested in vitro on a setup comprised of sensorized cystic, left and right hepatic, and proper hepatic arteries. In the trial session, the surgeon deformed the tubular structures with surgical forceps in 10 positions. Results The mean, standard deviation, and maximum misalignment between virtual and real arteries were 0.35, 0.22, and 0.99 mm, respectively. Conclusion The alignment accuracy obtained demonstrates the feasibility of the approach, which can be adopted in advanced AR simulations, in particular as an aid to the identification and isolation of tubular structures. Copyright © 2015 John Wiley & Sons, Ltd.