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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

01.09.2015 | Original Article

Intra-operative augmented reality in distal locking

verfasst von: Roberto Londei, Marco Esposito, Benoit Diotte, Simon Weidert, Ekkehard Euler, Peter Thaller, Nassir Navab, Pascal Fallavollita

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 9/2015

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Abstract

Purpose

To design an augmented reality solution that assists surgeons during the distal locking of intramedullary nailing procedures.

Method

Traditionally, the procedure is performed under X-ray guidance and requires a significant amount of time and radiation exposure. To absolve these complications, we propose video guidance that allows surgeons to achieve both the down-the-beam position of the intramedullary nail and its subsequent locking. For the down-the-beam position, the IM nail pose in X-ray is calculated using a 2D/3D registration scheme and later related to the patient leg pose which is calculated using video-tracked AR markers. For the distal locking, surgeons use an augmented radiolucent drill in which its tip position is detected and tracked in real-time under video guidance.

Validation

To evaluate the feasibility of our solution, we performed a preclinical study on dry bone phantom with the participation of four clinicians.

Results

Participants achieved 100 % success rate in the down-the beam positioning and 93 % success rate in distal locking using only two X-ray images in 100 s.

Conclusions

We confirmed that intra-operative navigation using augmented reality provides an alternative way to perform distal locking in a safe and timely manner.

Vorheriger Artikel Quantification of fibrous cap thickness in intracoronary optical coherence tomography with a contour segmentation method based on dynamic programming

Nächster Artikel Simulated field maps for susceptibility artefact correction in interventional MRI

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Titel: Intra-operative augmented reality in distal locking
verfasst von: Roberto Londei
Marco Esposito
Benoit Diotte
Simon Weidert
Ekkehard Euler
Peter Thaller
Nassir Navab
Pascal Fallavollita
Publikationsdatum: 01.09.2015
Verlag: Springer Berlin Heidelberg
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 9/2015
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-015-1169-2

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Abstract

Purpose

Method

Validation

Results

Conclusions

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