Abstract
In this work, we present a workflow aimed to help ear, nose, and throat (ENT) surgeons in the planning and analysis of inner ear and cochlear implant (CI) surgical interventions. The proposed workflow, OTOVIRT, is based on a multi-modal image registration process with both computer tomography (CT) and magnetic resonance images (MRI) of the patient, followed by the segmentation of anatomical relevant structures. The volumetric images and the 3D anatomic models developed are then used to create virtual surgical simulations of the CI intervention. OTOVIRT modelling workflow proves to be an efficient pipeline to improve surgical outcomes and train surgeons’ capabilities. Further advances in OTOVIRT workflow will hopefully allow multimodal data extraction and multiphysics simulation to be systematically conducted in daily clinical practice.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Deep, N.L., et al.: Cochlear implantation: an overview. J. Neurol. Surg. B Skull Base 80(2), 169–177 (2019)
Zeng, F.G., et al. Cochlear implants: system design, integration, and evaluation. IEEE Rev. Biomed. Eng. 1, 115–142 (2008). ISSN 19411189. https://doi.org/10.1109/RBME.2008.2008250
Wiet, G.J., Sørensen, M.S., Andersen, S.A.W.: Otologic skills training (2017). ISSN 15578259
Alwani, M., et al.: Current state of surgical simulation training in otolaryngology: Systematic review of simulation training models. Arch. Otorhinolaryngol.-Head Neck Surg. 3 (2019). https://doi.org/10.24983/scitemed.aohns.2019.00109
Okuda, Y., et al.: The utility of simulation in medical education: what is the evidence? (2009). ISSN 00272507
Moglia, A., et al.: A systematic review of virtual reality simulators for robot-assisted surgery (2016). ISSN 18737560
Javia, L., Deutsch, E.S.: A systematic review of simulators in otolaryngology (2012). ISSN 01945998
Arora, A., et al.: Virtual reality simulation training in Otolaryngology. Int. J. Surg. 12(2), 87–94 (2014)
El-Gamal, F.E.Z.A., Elmogy, M., Atwan, A.: Current trends in medical image registration and fusion (2016). ISSN 11108665
Saturnino, G.B., et al.: Simnibs 2.1: a comprehensive pipeline for individualized electric field modelling for transcranial brain stimulation. bioRxiv (2018). https://doi.org/10.1101/500314
Thielscher, A., Antunes, A., Saturnino, G.B.: Field modeling for transcranial magnetic stimulation: a useful tool to understand the physiological effects of TMS, pp. 222–225 (2015). https://doi.org/10.1109/EMBC.2015.7318340
Farokhian, F., et al.: Comparing cat12 and vbm8 for detecting brain morphological abnormalities in temporal lobe epilepsy. Front. Neurol. 8 (2017). ISSN 16642295. https://doi.org/10.3389/fneur.2017.00428
Nielsen, J.D., et al.: Automatic skull segmentation from MR images for realistic volume conductor models of the head: assessment of the state-of-the-art. NeuroImage 174, 587–598 (2018). ISSN 1053-8119. https://doi.org/10.1016/j.neuroimage.2018.03.001
Acknowledgements
This work was funded by the OTOVIRT project (PIN-0097-2020): Cirugía Virtual para el entrenamiento por simulación y el ensayo preoperatorio en cirugía otológica y en cirugía endoscópica endonasal by the Andalusian Consejery of Health and Families, co-funded by FEDER Europe.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Lazo-Maestre, M. et al. (2024). OTOVIRT: An Image-Guided Workflow for Individualized Surgical Planning and Multiphysics Simulation in Cochlear Implant Patients. In: Guisado-Lizar, JL., Riscos-Núñez, A., Morón-Fernández, MJ., Wainer, G. (eds) Simulation Tools and Techniques. SIMUtools 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 519. Springer, Cham. https://doi.org/10.1007/978-3-031-57523-5_17
Download citation
DOI: https://doi.org/10.1007/978-3-031-57523-5_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-57522-8
Online ISBN: 978-3-031-57523-5
eBook Packages: Computer ScienceComputer Science (R0)