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International Journal of Computer Assisted Radiology and Surgery

01.01.2014 | Review Article

Surgical planning tool for robotically assisted hearing aid implantation

verfasst von: Nicolas Gerber, Brett Bell, Kate Gavaghan, Christian Weisstanner, Marco Caversaccio, Stefan Weber

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 1/2014

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Abstract

Purpose

For the facilitation of minimally invasive robotically performed direct cochlea access (DCA) procedure, a surgical planning tool which enables the surgeon to define landmarks for patient-to-image registration, identify the necessary anatomical structures and define a safe DCA trajectory using patient image data (typically computed tomography (CT) or cone beam CT) is required. To this end, a dedicated end-to-end software planning system for the planning of DCA procedures that addresses current deficiencies has been developed.

Methods

   Efficient and robust anatomical segmentation is achieved through the implementation of semiautomatic algorithms; high-accuracy patient-to-image registration is achieved via an automated model-based fiducial detection algorithm and functionality for the interactive definition of a safe drilling trajectory based on case-specific drill positioning uncertainty calculations was developed.

Results

   The accuracy and safety of the presented software tool were validated during the conduction of eight DCA procedures performed on cadaver heads. The plan for each ear was completed in less than 20 min, and no damage to vital structures occurred during the procedures. The integrated fiducial detection functionality enabled final positioning accuracies of \(0.15\pm 0.08\) mm.

Conclusions

   Results of this study demonstrated that the proposed software system could aid in the safe planning of a DCA tunnel within an acceptable time.

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Metadaten
Titel
Surgical planning tool for robotically assisted hearing aid implantation
verfasst von
Nicolas Gerber
Brett Bell
Kate Gavaghan
Christian Weisstanner
Marco Caversaccio
Stefan Weber
Publikationsdatum
01.01.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 1/2014
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-013-0908-5