Real-time integration between Microsoft HoloLens 2 and 3D Slicer with demonstration in pedicle screw placement planning.

3D Slicer Augmented reality Microsoft HoloLens 2 OpenIGTLink Pedicle screw Surgical planning

Journal

International journal of computer assisted radiology and surgery
ISSN: 1861-6429
Titre abrégé: Int J Comput Assist Radiol Surg
Pays: Germany
ID NLM: 101499225

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 14 01 2023
accepted: 23 05 2023
pubmed: 13 6 2023
medline: 13 6 2023
entrez: 13 6 2023
Statut: ppublish

Résumé

Up to date, there has been a lack of software infrastructure to connect 3D Slicer to any augmented reality (AR) device. This work describes a novel connection approach using Microsoft HoloLens 2 and OpenIGTLink, with a demonstration in pedicle screw placement planning. We developed an AR application in Unity that is wirelessly rendered onto Microsoft HoloLens 2 using Holographic Remoting. Simultaneously, Unity connects to 3D Slicer using the OpenIGTLink communication protocol. Geometrical transform and image messages are transferred between both platforms in real time. Through the AR glasses, a user visualizes a patient's computed tomography overlaid onto virtual 3D models showing anatomical structures. We technically evaluated the system by measuring message transference latency between the platforms. Its functionality was assessed in pedicle screw placement planning. Six volunteers planned pedicle screws' position and orientation with the AR system and on a 2D desktop planner. We compared the placement accuracy of each screw with both methods. Finally, we administered a questionnaire to all participants to assess their experience with the AR system. The latency in message exchange is sufficiently low to enable real-time communication between the platforms. The AR method was non-inferior to the 2D desktop planner, with a mean error of 2.1 ± 1.4 mm. Moreover, 98% of the screw placements performed with the AR system were successful, according to the Gertzbein-Robbins scale. The average questionnaire outcomes were 4.5/5. Real-time communication between Microsoft HoloLens 2 and 3D Slicer is feasible and supports accurate planning for pedicle screw placement.

Identifiants

pubmed: 37310561
doi: 10.1007/s11548-023-02977-0
pii: 10.1007/s11548-023-02977-0
pmc: PMC10589185
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2023-2032

Subventions

Organisme : Ministerio de Ciencia, Innovación y Universidades
ID : PI18/01625
Organisme : European Regional Development Fund
ID : AC20/00102
Organisme : Horizon 2020 Framework Programme
ID : 801538
Organisme : TED
ID : 2021-129392B-I00

Informations de copyright

© 2023. The Author(s).

Références

Eur Spine J. 2021 Dec;30(12):3731-3737
pubmed: 34350487
J Imaging. 2022 Dec 23;9(1):
pubmed: 36662102
J Med Imaging (Bellingham). 2019 Jul;6(3):035002
pubmed: 31528660
J Neurosurg Spine. 2021 Oct 08;36(3):351-357
pubmed: 34624854
Sensors (Basel). 2021 Feb 15;21(4):
pubmed: 33672053
J Vis Exp. 2020 Jan 2;(155):
pubmed: 31957749
Anat Sci Educ. 2017 Nov;10(6):549-559
pubmed: 28419750
Spine (Phila Pa 1976). 2018 Nov 1;43(21):1487-1495
pubmed: 30325346
Int J Comput Assist Radiol Surg. 2022 Nov;17(11):2081-2091
pubmed: 35776399
J Laparoendosc Adv Surg Tech A. 2012 Nov;22(9):865-70
pubmed: 23072406
Radiol Artif Intell. 2020 Jul 29;2(4):e190138
pubmed: 33937831
J Neurosurg Spine. 2019 Mar 29;:1-8
pubmed: 30925479
Sensors (Basel). 2022 Jun 29;22(13):
pubmed: 35808407
Int J Comput Assist Radiol Surg. 2019 Mar;14(3):525-535
pubmed: 29934792
Eur Spine J. 2007 Aug;16(8):1215-22
pubmed: 17180401
Clin Orthop Relat Res. 2013 Dec;471(12):4047-55
pubmed: 23955194
J Med Syst. 2019 Mar 14;43(4):102
pubmed: 30874965
Int J Med Robot. 2009 Dec;5(4):423-34
pubmed: 19621334
IEEE Trans Biomed Eng. 2014 Oct;61(10):2527-37
pubmed: 24833412
Int J Spine Surg. 2019 Apr 30;13(2):132-145
pubmed: 31131212
Int J Comput Assist Radiol Surg. 2022 Feb;17(2):385-391
pubmed: 34817764
Musculoskelet Surg. 2016 Dec;100(3):165-169
pubmed: 27866324

Auteurs

Alicia Pose-Díez-de-la-Lastra (A)

Departamento de Bioingeniería, Universidad Carlos III de Madrid, 28911, Leganés, Spain. apose@ing.uc3m.es.

Tamas Ungi (T)

Laboratory for Percutaneous Surgery, School of Computing, Queen's University, Kingston, ON, K7M2N8, Canada.

David Morton (D)

Laboratory for Percutaneous Surgery, School of Computing, Queen's University, Kingston, ON, K7M2N8, Canada.

Gabor Fichtinger (G)

Laboratory for Percutaneous Surgery, School of Computing, Queen's University, Kingston, ON, K7M2N8, Canada.

Javier Pascau (J)

Departamento de Bioingeniería, Universidad Carlos III de Madrid, 28911, Leganés, Spain.

Classifications MeSH