Abstract
Virtual Reality (VR) is promising not just for the game and entertainment industry, but also for the medical and surgical fields, to develop simulation systems and navigation tools for the intra-operative assistance. Electromagnetic (EM) tracking technology is today widely proposed in the context of computer-assisted medical interventions.
In this work we preliminary evaluate whether a three-Dimensional (3D) virtual reality EM navigator could simplify a challenging endovascular procedure, the fenestrated endovascular aneurysm repair (FEVAR), facilitating the collateral arteries cannulation. This paper describes the navigation system and presents results of in-vitro trials which provide preliminary evidence to prove the potentialities of the proposed technology for the specific surgical application.
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
McCloy, R., Stone, R.: Virtual reality in surgery. BMJ: Br. Med. J. 323, 912–915 (2001)
Fagan, T.E., Truong, U.T., Jone, P.-N., Bracken, J., Quaife, R., Hazeem, A.A.A., Salcedo, E.E., Fonseca, B.M.: Multimodality 3-dimensional image integration for congenital cardiac catheterization. Methodist DeBakey Cardiovasc. J. 10, 68–76 (2014)
Rossitti, S., Pfister, M.: 3D road-mapping in the endovascular treatment of cerebral aneurysms and arteriovenous malformations. Intervent. Neuroradiol. 15, 283–290 (2009)
Pujol, S., Pecher, M., Magne, J.L., Cinquin, P.: A virtual reality based navigation system for endovascular surgery. Stud. Health Technol. Inform. 98, 310–312 (2004)
Sidhu, R., Weir-McCall, J., Cochennec, F., Riga, C., DiMarco, A., Bicknell, C.D.: Evaluation of an electromagnetic 3D navigation system to facilitate endovascular tasks: a feasibility study. Eur. J. Vascul. Endovasc. Surg.: Official J. Eur. Soc. Vascul. Surg. 43, 22–29 (2012)
Cochennec, F., Riga, C., Hamady, M., Cheshire, N., Bicknell, C.: Improved catheter navigation with 3D electromagnetic guidance. J. Endovasc. Therapy: Official J. Int. Soc. Endovasc. Spec. 20, 39–47 (2013)
Condino, S., Ferrari, V., Freschi, C., Alberti, A., Berchiolli, R., Mosca, F., Ferrari, M.: Electromagnetic navigation platform for endovascular surgery: how to develop sensorized catheters and guidewires. Int. J. Med. Robot. 8(3), 300–310 (2012)
Condino, S., et al.: Electromagnetic guided in-situ laser fenestration of endovascular stent-graft: endovascular tools sensorization strategy and preliminary laser testing. In: Zheng, G., Liao, H., Jannin, P., Cattin, P., Lee, S.-L. (eds.) MIAR 2016. LNCS, vol. 9805, pp. 72–83. Springer, Cham (2016). doi:10.1007/978-3-319-43775-0_7
Rodd, C.D., Desigan, S., Cheshire, N.J., Jenkins, M.P., Hamady, M.: The suitability of thoraco-abdominal aortic aneurysms for branched or fenestrated stent grafts – and the development of a new scoring method to aid case assessment. Eur. J. Vascul. Endovasc. 41, 175–185 (2011)
Shahverdyan, R., Gray, D., Gawenda, M., Brunkwall, J.: Single centre results of total endovascular repair of complex aortic aneurysms with custom made anaconda fenestrated stent grafts. Eur. J. Vascul. Endovasc. 52, 500–508 (2016)
Megali, G., Ferrari, V., Freschi, C., Morabito, B., Turini, G., Troia, E., Cappelli, C., Pietrabissa, A., Tonet, O., Cuschieri, A., Dario, P., Mosca, F.: EndoCAS navigator platform: a common platform for computer and robotic assistance in minimally invasive surgery. Int. J. Med. Robot. Comp. 4, 242–251 (2008)
Condino, S., Calabro, E.M., Alberti, A., Parrini, S., Cioni, R., Berchiolli, R.N., Gesi, M., Ferrari, V., Ferrari, M.: Simultaneous tracking of catheters and guidewires: comparison to standard fluoroscopic guidance for arterial cannulation. Eur. J. Vascul. Endovasc. 47, 53–60 (2014)
Sinceri, S., Carbone, M., Marconi, M., Moglia, A., Ferrari, M., Ferrari, V.: Basic endovascular skills trainer: a surgical simulator for the training of novice practitioners of endovascular procedures. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 5102–5105 (2015)
Quiñones-Baldrich, W.J., Holden, A., Mertens, R., Thompson, M.M., Sawchuk, A.P., Becquemin, J.-P., Eagleton, M., Clair, D.G.: Prospective, multicenter experience with the ventana fenestrated system for juxtarenal and pararenal aortic aneurysm endovascular repair. J. Vascul. Surg. 58, 1–9 (2013)
Turini, G., Condino, S., Postorino, M., Ferrari, V., Ferrari, M.: Improving endovascular intraoperative navigation with real-time skeleton-based deformation of virtual vascular structures. In: Paolis, L.T., Mongelli, A. (eds.) AVR 2016. LNCS, vol. 9769, pp. 82–91. Springer, Cham (2016). doi:10.1007/978-3-319-40651-0_7
Parrini, S., Zhang, L., Condino, S., Ferrari, V., Caramella, D., Ferrari, M.: Automatic carotid centerline extraction from three-dimensional ultrasound doppler images. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, pp. 5089–5092 (2014)
Zhang, L., Parrini, S., Freschi, C., Ferrari, V., Condino, S., Ferrari, M., Caramella, D.: 3D ultrasound centerline tracking of abdominal vessels for endovascular navigation. Int. J. Comput. Assist. Radiol. Surg. 9(1), 127–135 (2014)
Acknowledgments
The research leading to these results has been partially supported by the scientific project LASER (electromagnetic guided in-situ laser fenestration of endovascular endoprosthesis, November 2014–November 2017) funded by the Italian Ministry of Health and Regione Toscana through the call “Ricerca Finalizzata 2011–2012”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Piazza, R. et al. (2017). Using of 3D Virtual Reality Electromagnetic Navigation for Challenging Cannulation in FEVAR Procedure. In: De Paolis, L., Bourdot, P., Mongelli, A. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2017. Lecture Notes in Computer Science(), vol 10325. Springer, Cham. https://doi.org/10.1007/978-3-319-60928-7_19
Download citation
DOI: https://doi.org/10.1007/978-3-319-60928-7_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60927-0
Online ISBN: 978-3-319-60928-7
eBook Packages: Computer ScienceComputer Science (R0)