Immersive Photorealistic Three-Dimensional Neurosurgical Anatomy of the Cerebral Arteries: A Photogrammetry-Based Anatomic Study.


Journal

Operative neurosurgery (Hagerstown, Md.)
ISSN: 2332-4260
Titre abrégé: Oper Neurosurg (Hagerstown)
Pays: United States
ID NLM: 101635417

Informations de publication

Date de publication:
10 Sep 2024
Historique:
received: 04 12 2023
accepted: 28 02 2024
medline: 10 9 2024
pubmed: 10 9 2024
entrez: 10 9 2024
Statut: aheadofprint

Résumé

Neurosurgeons need a profound knowledge of the surgical anatomy of the cerebral arteries to safely treat patients. This is a challenge because of numerous branches, segments, and tortuosity of the main blood vessels that supply the brain. The objective of this study was to create high-quality three-dimensional (3D) anatomic photorealistic models based on dissections of the brain arterial anatomy and to incorporate this data into a virtual reality (VR) environment. Two formaldehyde-fixed heads were used. The vessels were injected with radiopaque material and colored silicone and latex. Before the dissections, the specimens were computed tomography scanned. Stratigraphical anatomic dissection of the neck and brain was performed to present the relevant vascular anatomy. A simplified surface scanning method using a mobile phone-based photogrammetry application was used, and the data were incorporated into a VR 3D modeling software for post-processing and presentation. Fifteen detailed layered photorealistic and two computed tomography angiography-based 3D models were generated. The models allow manipulation in VR environment with sufficient photographic detail to present the structures of interest. Topographical relevant anatomic structures and landmarks were annotated and uploaded for web-viewing and in VR. Despite that the VR application is a dedicated 3D modeling platform, it provided all necessary tools to be suitable for self-VR study and multiplayer scenarios with several participants in one immersive environment. Cerebral vascular anatomy presented with photogrammetry surface scanning method allows sufficient detail to present individual vessel's course and even small perforating arteries in photorealistic 3D models. These features, including VR visualization, provide new teaching prospects. The whole study was done with simplified algorithms and free or open-source software platforms allowing creation of 3D databases especially useful in cases with limited body donor-based dissection training availability.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
Neurosurgeons need a profound knowledge of the surgical anatomy of the cerebral arteries to safely treat patients. This is a challenge because of numerous branches, segments, and tortuosity of the main blood vessels that supply the brain. The objective of this study was to create high-quality three-dimensional (3D) anatomic photorealistic models based on dissections of the brain arterial anatomy and to incorporate this data into a virtual reality (VR) environment.
METHODS METHODS
Two formaldehyde-fixed heads were used. The vessels were injected with radiopaque material and colored silicone and latex. Before the dissections, the specimens were computed tomography scanned. Stratigraphical anatomic dissection of the neck and brain was performed to present the relevant vascular anatomy. A simplified surface scanning method using a mobile phone-based photogrammetry application was used, and the data were incorporated into a VR 3D modeling software for post-processing and presentation.
RESULTS RESULTS
Fifteen detailed layered photorealistic and two computed tomography angiography-based 3D models were generated. The models allow manipulation in VR environment with sufficient photographic detail to present the structures of interest. Topographical relevant anatomic structures and landmarks were annotated and uploaded for web-viewing and in VR. Despite that the VR application is a dedicated 3D modeling platform, it provided all necessary tools to be suitable for self-VR study and multiplayer scenarios with several participants in one immersive environment.
CONCLUSION CONCLUSIONS
Cerebral vascular anatomy presented with photogrammetry surface scanning method allows sufficient detail to present individual vessel's course and even small perforating arteries in photorealistic 3D models. These features, including VR visualization, provide new teaching prospects. The whole study was done with simplified algorithms and free or open-source software platforms allowing creation of 3D databases especially useful in cases with limited body donor-based dissection training availability.

Identifiants

pubmed: 39254300
doi: 10.1227/ons.0000000000001198
pii: 01787389-990000000-01318
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © Congress of Neurological Surgeons 2024. All rights reserved.

Références

Saeki N, Rhoton AL Jr. Microsurgical anatomy of the upper basilar artery and the posterior circle of Willis. J Neurosurg. 1977;46(5):563-578.
Rhoton AL Jr., Fujii K, Fradd B. Microsurgical anatomy of the anterior choroidal artery. Surg Neurol. 1979;12(2):171-187.
Gibo H, Carver CC, Rhoton AL Jr., Lenkey C, Mitchell RJ. Microsurgical anatomy of the middle cerebral artery. J Neurosurg. 1981;54(2):151-169.
Gibo H, Lenkey C, Rhoton AL Jr. Microsurgical anatomy of the supraclinoid portion of the internal carotid artery. J Neurosurg. 1981;55(4):560-574.
Video Neurosurgical Atlas by Aaron Cohen-Gadol, M.D. Accessed 24 May, 2023. https://www.neurosurgicalatlas.com
Erolin C. Interactive 3D digital models for anatomy and medical education. Adv Exp Med Biol. 2019;1138:1-16.
Nicolosi F, Rossini Z, Zaed I, Kolias AG, Fornari M, Servadei F. Neurosurgical digital teaching in low-middle income countries: beyond the frontiers of traditional education. Neurosurg Focus. 2018;45(4):e17.
Hendricks BK, Hartman J, Cohen-Gadol AA. Cerebrovascular operative anatomy: an immersive 3D and virtual reality description. Oper Neurosurg. 2018;15(6):613-623.
Tomlinson SB, Hendricks BK, Cohen-Gadol A. Immersive three-dimensional modeling and virtual reality for enhanced visualization of operative neurosurgical anatomy. World Neurosurg. 2019;131:313-320.
Anderson VC, Berryhill PC, Sandquist MA, Ciaverella DP, Nesbit GM, Burchiel KJ. High-resolution three-dimensional magnetic resonance angiography and three-dimensional spoiled gradient-recalled imaging in the evaluation of neurovascular compression in patients with trigeminal neuralgia: a double-blind pilot study. Neurosurgery. 2006;58(4):666-673; discussion 666-673.
Hendricks BK, Patel AJ, Hartman J, Seifert MF, Cohen-Gadol A. Operative anatomy of the human skull: a virtual reality expedition. Oper Neurosurg. 2018;15(4):368-377.
Miller J, Acar F, Hamilton B, Burchiel K. Preoperative visualization of neurovascular anatomy in trigeminal neuralgia. J Neurosurg. 2008;108(3):477-482.
Petriceks AH, Peterson AS, Angeles M, Brown WP, Srivastava S. Photogrammetry of human specimens: an innovation in anatomy education. J Med Educ Curric Dev. 2018;5:2382120518799356.
Kournoutas I, Vigo V, Chae R, et al. Acquisition of volumetric models of skull base anatomy using endoscopic endonasal approaches: 3D scanning of deep corridors via photogrammetry. World Neurosurg. 2019;129:372-377.
Rubio RR, Shehata J, Kournoutas I, et al. Construction of neuroanatomical volumetric models using 3-dimensional scanning techniques: technical note and applications. World Neurosurg. 2019;126:359-368.
Nicolosi F, Spena G. Three-dimensional virtual intraoperative reconstruction: a novel method to explore a virtual neurosurgical field. World Neurosurg. 2020;137:e189-e193.
Hanalioglu S, Romo NG, Mignucci-Jiménez G, et al. Development and validation of a novel methodological pipeline to integrate neuroimaging and photogrammetry for immersive 3D cadaveric neurosurgical simulation. Front Surg. 2022;9:878378.
Xu Y, Vigo V, Klein J, et al. Pursuing perfect 2D and 3D photography in neuroanatomy: a new paradigm for staying up to date with digital technology. J Neurosurg. 138(6):1766-1772.
Titmus M, Whittaker G, Radunski M, et al. A workflow for the creation of photorealistic 3D cadaveric models using photogrammetry. J Anat. 2023;243(2):319-333.
Gonzalez-Romo NI, Hanalioglu S, Mignucci-Jiménez G, Abramov I, Xu Y, Preul MC. Anatomic depth estimation and 3-dimensional reconstruction of microsurgical anatomy using monoscopic high-definition photogrammetry and machine learning. Oper Neurosurg. 2023;24(4):432-444.
Gonzalez-Romo NI, Mignucci-Jiménez G, Hanalioglu S, et al. Virtual neurosurgery anatomy laboratory: a collaborative and remote education experience in the metaverse. Surg Neurol Int. 2023;14:90.
Stepan K, Zeiger J, Hanchuk S, et al. Immersive virtual reality as a teaching tool for neuroanatomy. Int Forum Allergy Rhinol. 2017;7(10):1006-1013.
Vezirska D, Milev M, Laleva L, Nakov V, Spiriev T. Three-dimensional printing in neurosurgery: a review of current indications and applications and a basic methodology for creating a three-dimensional printed model for the neurosurgical practice. Cureus. 2022;14(12):e33153.
Spiriev T, Nakov V, Cornelius JF. Photorealistic 3-dimensional models of the anatomy and neurosurgical approaches to the V2, V3, and V4 segments of the vertebral artery. Oper Neurosurg. 2023;25(1):e15-e21.
Rhoton AL Jr. The cerebellar arteries. Neurosurgery. 2000;47(3 Suppl):S29-S68.
Rhoton AL Jr. The supratentorial arteries. Neurosurgery. 2002;51(4 Suppl):S53-S120.
Fine AD, Cardoso A, Rhoton AL Jr. Microsurgical anatomy of the extracranial-extradural origin of the posterior inferior cerebellar artery. J Neurosurg. 1999;91(4):645-652.
George B, Cornelius J. Vertebral artery: surgical anatomy. Oper Tech Neurosurg. 2001;4(4):168-181.
Martins C, Yasuda A, Campero A, Ulm AJ, Tanriover N, Rhoton A Jr. Microsurgical anatomy of the dural arteries. Neurosurgery. 2005;56(2 Suppl):211-251; discussion 211-251.
Bruneau M, Cornelius JF, Marneffe V, Triffaux M, George B. Anatomical variations of the V2 segment of the vertebral artery. Neurosurgery. 2006;59(1 Suppl 1):ONS20-ONS24; discussion ONS20-ONS24.
Bruneau M, Cornelius JF, George B. Anterolateral approach to the V2 segment of the vertebral artery. Neurosurgery. 2005;57(4 Suppl):262-267; discussion 262-267.
Bruneau M, Cornelius JF, George B. Antero-lateral approach to the V3 segment of the vertebral artery. Neurosurgery. 2006;58(1 Suppl):ONS29-ONS35; discussion ONS29-ONS35.
Bruneau M, Cornelius JF, George B. Anterolateral approach to the V1 segment of the vertebral artery. Oper Neurosurg. 2006;58(4 Suppl 2):ONS-215-ONS-219; discussion ONS-219.
Javaid MA, Chakraborty S, Cryan JF, Schellekens H, Toulouse A. Understanding neurophobia: reasons behind impaired understanding and learning of neuroanatomy in cross-disciplinary healthcare students. Anatomical Sci Educ. 2018;11(1):81-93.
Gurses ME, Gungor A, Gökalp E, et al. Three-dimensional modeling and augmented and virtual reality simulations of the white matter anatomy of the cerebrum. Oper Neurosurg. 2022;23(5):355-366.
Gurses ME, Gungor A, Rahmanov S, et al. Three-dimensional modeling and augmented reality and virtual reality simulation of fiber dissection of the cerebellum and brainstem. Oper Neurosurg. 2022;23(5):345-354.
Gurses ME, Hanalioglu S, Mignucci-Jiménez G, et al. Three-dimensional modeling and extended reality simulations of the cross-sectional anatomy of the cerebrum, cerebellum, and brainstem. Oper Neurosurg. 2023;25(1):3-10.
Gurses ME, Gungor A, Hanalioglu S, et al. Qlone®: a simple method to create 360-degree photogrammetry-based 3-dimensional model of cadaveric specimens. Oper Neurosurg. 2021;21(6):e488-e493.
Aydin SO, Barut O, Yilmaz MO, et al. Use of 3-dimensional modeling and augmented/virtual reality applications in microsurgical neuroanatomy training. Oper Neurosurg. 2023;24(3):318-323.
Roh TH, Oh JW, Jang CK, et al. Virtual dissection of the real brain: integration of photographic 3D models into virtual reality and its effect on neurosurgical resident education. Neurosurg Focus. 2021;51(2):e16.
Shono N, Kin T, Nomura S, et al. Microsurgery simulator of cerebral aneurysm clipping with interactive cerebral deformation featuring a virtual arachnoid. Oper Neurosurg. 2018;14(5):579-589.
Kimura T, Morita A, Nishimura K, et al. Simulation of and training for cerebral aneurysm clipping with 3-dimensional models. Neurosurgery. 2009;65(4):719-726; discussion 725-726.
Kolla S, Elgawly M, Gaughan JP, Goldman E. Medical student perception of a virtual reality training module for anatomy education. Med Sci Educ. 2020;30(3):1201-1210.
Maresky HS, Oikonomou A, Ali I, Ditkofsky N, Pakkal M, Ballyk B. Virtual reality and cardiac anatomy: exploring immersive three-dimensional cardiac imaging, a pilot study in undergraduate medical anatomy education. Clin Anat. 2019;32(2):238-243.
Zhao J, Xu X, Jiang H, Ding Y. The effectiveness of virtual reality-based technology on anatomy teaching: a meta-analysis of randomized controlled studies. BMC Med Educ. 2020;20(1):127.
Stadie AT, Kockro RA, Reisch R, et al. Virtual reality system for planning minimally invasive neurosurgery. Technical note. J Neurosurg. 2008;108(2):382-394.
Stadie AT, Kockro RA, Serra L, et al. Neurosurgical craniotomy localization using a virtual reality planning system versus intraoperative image-guided navigation. Int J Comput Assist Radiol Surg. 2011;6(5):565-572.
Chidambaram S, Anthony D, Jansen T, Vigo V, Fernandez Miranda JC. Intraoperative augmented reality fiber tractography complements cortical and subcortical mapping. World Neurosurg. 2023;20:100226.
Christopher LA, William A, Cohen-Gadol AA. Future directions in 3-dimensional imaging and neurosurgery: stereoscopy and autostereoscopy. Neurosurgery. 2013;72(Suppl 1):131-138.

Auteurs

Toma Spiriev (T)

Department of Neurosurgery, Acibadem City Clinic University Hospital Tokuda, Sofia, Bulgaria.

Kay M Körner (KM)

Institute for Anatomy I, Medical Faculty & University Hospital, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.

Andrea Steuwe (A)

Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.

Michael Wolf-Vollenbröker (M)

Institute for Anatomy I, Medical Faculty & University Hospital, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.

Martin Trandzhiev (M)

Department of Neurosurgery, Acibadem City Clinic University Hospital Tokuda, Sofia, Bulgaria.

Vladimir Nakov (V)

Department of Neurosurgery, Acibadem City Clinic University Hospital Tokuda, Sofia, Bulgaria.

Jan Frederick Cornelius (JF)

Department of Neurosurgery, Medical Faculty & University Hospital, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.

Classifications MeSH