Publisher’s version / Version de l'éditeur:
Neuro-Oncology 2009, 11, 5, p. 698, 2009-10
READ THESE TERMS AND CONDITIONS CAREFULLY BEFORE USING THIS WEBSITE.
https://nrc-publications.canada.ca/eng/copyright
Vous avez des questions? Nous pouvons vous aider. Pour communiquer directement avec un auteur, consultez la première page de la revue dans laquelle son article a été publié afin de trouver ses coordonnées. Si vous n’arrivez pas à les repérer, communiquez avec nous à PublicationsArchive-ArchivesPublications@nrc-cnrc.gc.ca.
Questions? Contact the NRC Publications Archive team at
PublicationsArchive-ArchivesPublications@nrc-cnrc.gc.ca. If you wish to email the authors directly, please see the first page of the publication for their contact information.
NRC Publications Archive
Archives des publications du CNRC
This publication could be one of several versions: author’s original, accepted manuscript or the publisher’s version. / La version de cette publication peut être l’une des suivantes : la version prépublication de l’auteur, la version acceptée du manuscrit ou la version de l’éditeur.
For the publisher’s version, please access the DOI link below./ Pour consulter la version de l’éditeur, utilisez le lien DOI ci-dessous.
https://doi.org/10.1215/15228517-2009-034
Access and use of this website and the material on it are subject to the Terms and Conditions set forth at
Patient-specific virtual reality systems for brain tumor surgery
DiRaddo, R.; Tomanek, B.; Laroche, D.; Delorme, S.; Del Maestro, R.
https://publications-cnrc.canada.ca/fra/droits
L’accès à ce site Web et l’utilisation de son contenu sont assujettis aux conditions présentées dans le site LISEZ CES CONDITIONS ATTENTIVEMENT AVANT D’UTILISER CE SITE WEB.
NRC Publications Record / Notice d'Archives des publications de CNRC: https://nrc-publications.canada.ca/eng/view/object/?id=68738bf5-57d1-47a5-af5e-99db439ec870 https://publications-cnrc.canada.ca/fra/voir/objet/?id=68738bf5-57d1-47a5-af5e-99db439ec870
Patient-Specific Virtual Reality Systems for Brain Tumor Surgery R. DiRaddo, B. Tomanek, D. Laroche, S. Delorme, R. Del Maestro Introduction
Rapidly evolving surgical techniques, decreasing resident workloads and patient safety concerns are strongly driving the need for innovative training approaches. The potential for error and the need for training are highest during the surgeon's learning curve. The objective of this research is to develop an interactive virtual reality (VR)-based simulator to aid neurosurgery residents and neurosurgeons in preparation for brain tumor resection.
Method
The system creates a brain model from medical images, providing planning and rehearsal prior to the actual surgery. The immersion experience is maximized using highly realistic visual feedback of tool-specific tissue behavior, including dissection and bleeding, and high-fidelity touch feedback with tissues using haptic devices connected to a real-time computational engine. Enhanced MR imaging is being developed to provide input information on critical anatomical structures, functional areas and tissue biomechanics. In collaboration with clinicians, surgical skills metrics and simulation scenarios for brain tumor resection are being defined and implemented.
Results
Two simulation scenarios have been implemented in the system. In a
ventriculostomy scenario, the trainee must drive a tube through a whole in the skull until its tip is felt to be inside a ventricle. In a tumour debulking scenario, the trainee must debulk a tumour using an aspirator without removing healthy brain tissue.
Conclusion
The system will allow learning of new surgical techniques, training on new devices, such as medical robots, performing a surgical skills warm-up or rehearsing a procedure for a patient-specific anatomy in a safe environment outside the operating room (OR). In addition, it will provide an objective measure of surgical performance without requiring the presence of an external observer. Clinical adoption of VR simulation will result in accelerated training, rapid
