Augmented Reality Based Surgical Navigation of Complex Pelvic Osteotomies—A Feasibility Study on Cadavers

Augmented reality (AR)-based surgical navigation may offer new possibilities for safe and accurate surgical execution of complex osteotomies. In this study we investigated the feasibility of navigating the periacetabular osteotomy of Ganz (PAO), known as one of the most complex orthopedic interventi...

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Main Authors: Joëlle Ackermann, Florentin Liebmann, Armando Hoch, Jess G. Snedeker, Mazda Farshad, Stefan Rahm, Patrick O. Zingg, Philipp Fürnstahl
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/3/1228
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author Joëlle Ackermann
Florentin Liebmann
Armando Hoch
Jess G. Snedeker
Mazda Farshad
Stefan Rahm
Patrick O. Zingg
Philipp Fürnstahl
author_facet Joëlle Ackermann
Florentin Liebmann
Armando Hoch
Jess G. Snedeker
Mazda Farshad
Stefan Rahm
Patrick O. Zingg
Philipp Fürnstahl
author_sort Joëlle Ackermann
collection DOAJ
description Augmented reality (AR)-based surgical navigation may offer new possibilities for safe and accurate surgical execution of complex osteotomies. In this study we investigated the feasibility of navigating the periacetabular osteotomy of Ganz (PAO), known as one of the most complex orthopedic interventions, on two cadaveric pelves under realistic operating room conditions. Preoperative planning was conducted on computed tomography (CT)-reconstructed 3D models using an in-house developed software, which allowed creating cutting plane objects for planning of the osteotomies and reorientation of the acetabular fragment. An AR application was developed comprising point-based registration, motion compensation and guidance for osteotomies as well as fragment reorientation. Navigation accuracy was evaluated on CT-reconstructed 3D models, resulting in an error of 10.8 mm for osteotomy starting points and 5.4° for osteotomy directions. The reorientation errors were 6.7°, 7.0° and 0.9° for the x-, y- and z-axis, respectively. Average postoperative error of LCE angle was 4.5°. Our study demonstrated that the AR-based execution of complex osteotomies is feasible. Fragment realignment navigation needs further improvement, although it is more accurate than the state of the art in PAO surgery.
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spelling doaj.art-c21a4567d91b4fc8b1b35192786a75c42023-12-03T15:09:21ZengMDPI AGApplied Sciences2076-34172021-01-01113122810.3390/app11031228Augmented Reality Based Surgical Navigation of Complex Pelvic Osteotomies—A Feasibility Study on CadaversJoëlle Ackermann0Florentin Liebmann1Armando Hoch2Jess G. Snedeker3Mazda Farshad4Stefan Rahm5Patrick O. Zingg6Philipp Fürnstahl7Research in Orthopedic Computer Science, Balgrist University Hospital, University of Zurich, 8008 Zurich, SwitzerlandResearch in Orthopedic Computer Science, Balgrist University Hospital, University of Zurich, 8008 Zurich, SwitzerlandDepartment of Orthopedics, Balgrist University Hospital, University of Zurich, 8008 Zurich, SwitzerlandLaboratory for Orthopaedic Biomechanics, ETH Zurich, 8093 Zurich, SwitzerlandDepartment of Orthopedics, Balgrist University Hospital, University of Zurich, 8008 Zurich, SwitzerlandDepartment of Orthopedics, Balgrist University Hospital, University of Zurich, 8008 Zurich, SwitzerlandDepartment of Orthopedics, Balgrist University Hospital, University of Zurich, 8008 Zurich, SwitzerlandResearch in Orthopedic Computer Science, Balgrist University Hospital, University of Zurich, 8008 Zurich, SwitzerlandAugmented reality (AR)-based surgical navigation may offer new possibilities for safe and accurate surgical execution of complex osteotomies. In this study we investigated the feasibility of navigating the periacetabular osteotomy of Ganz (PAO), known as one of the most complex orthopedic interventions, on two cadaveric pelves under realistic operating room conditions. Preoperative planning was conducted on computed tomography (CT)-reconstructed 3D models using an in-house developed software, which allowed creating cutting plane objects for planning of the osteotomies and reorientation of the acetabular fragment. An AR application was developed comprising point-based registration, motion compensation and guidance for osteotomies as well as fragment reorientation. Navigation accuracy was evaluated on CT-reconstructed 3D models, resulting in an error of 10.8 mm for osteotomy starting points and 5.4° for osteotomy directions. The reorientation errors were 6.7°, 7.0° and 0.9° for the x-, y- and z-axis, respectively. Average postoperative error of LCE angle was 4.5°. Our study demonstrated that the AR-based execution of complex osteotomies is feasible. Fragment realignment navigation needs further improvement, although it is more accurate than the state of the art in PAO surgery.https://www.mdpi.com/2076-3417/11/3/1228periacetabular osteotomysurgical navigationaugmented realityosteotomycomputer assisted planning
spellingShingle Joëlle Ackermann
Florentin Liebmann
Armando Hoch
Jess G. Snedeker
Mazda Farshad
Stefan Rahm
Patrick O. Zingg
Philipp Fürnstahl
Augmented Reality Based Surgical Navigation of Complex Pelvic Osteotomies—A Feasibility Study on Cadavers
Applied Sciences
periacetabular osteotomy
surgical navigation
augmented reality
osteotomy
computer assisted planning
title Augmented Reality Based Surgical Navigation of Complex Pelvic Osteotomies—A Feasibility Study on Cadavers
title_full Augmented Reality Based Surgical Navigation of Complex Pelvic Osteotomies—A Feasibility Study on Cadavers
title_fullStr Augmented Reality Based Surgical Navigation of Complex Pelvic Osteotomies—A Feasibility Study on Cadavers
title_full_unstemmed Augmented Reality Based Surgical Navigation of Complex Pelvic Osteotomies—A Feasibility Study on Cadavers
title_short Augmented Reality Based Surgical Navigation of Complex Pelvic Osteotomies—A Feasibility Study on Cadavers
title_sort augmented reality based surgical navigation of complex pelvic osteotomies a feasibility study on cadavers
topic periacetabular osteotomy
surgical navigation
augmented reality
osteotomy
computer assisted planning
url https://www.mdpi.com/2076-3417/11/3/1228
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