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Erschienen in: International Journal of Computer Assisted Radiology and Surgery 11/2015

01.11.2015 | Original Article

Augmented reality in neurovascular surgery: feasibility and first uses in the operating room

verfasst von: Marta Kersten-Oertel, Ian Gerard, Simon Drouin, Kelvin Mok, Denis Sirhan, David S. Sinclair, D. Louis Collins

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 11/2015

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Abstract

Purpose

The aim of this report is to present a prototype augmented reality (AR) intra-operative brain imaging system. We present our experience of using this new neuronavigation system in neurovascular surgery and discuss the feasibility of this technology for aneurysms, arteriovenous malformations (AVMs), and arteriovenous fistulae (AVFs).

Methods

We developed an augmented reality system that uses an external camera to capture the live view of the patient on the operating room table and to merge this view with pre-operative volume-rendered vessels. We have extensively tested the system in the laboratory and have used the system in four surgical cases: one aneurysm, two AVMs and one AVF case.

Results

The developed AR neuronavigation system allows for precise patient-to-image registration and calibration of the camera, resulting in a well-aligned augmented reality view. Initial results suggest that augmented reality is useful for tailoring craniotomies, localizing vessels of interest, and planning resection corridors.

Conclusion

Augmented reality is a promising technology for neurovascular surgery. However, for more complex anomalies such as AVMs and AVFs, better visualization techniques that allow one to distinguish between arteries and veins and determine the absolute depth of a vessel of interest are needed.
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Metadaten
Titel
Augmented reality in neurovascular surgery: feasibility and first uses in the operating room
verfasst von
Marta Kersten-Oertel
Ian Gerard
Simon Drouin
Kelvin Mok
Denis Sirhan
David S. Sinclair
D. Louis Collins
Publikationsdatum
01.11.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 11/2015
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-015-1163-8

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