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Erschienen in: International Journal of Computer Assisted Radiology and Surgery 11/2016

01.11.2016 | Original Article

Surface matching for high-accuracy registration of the lateral skull base

verfasst von: Chaozheng Zhou, Lukas Anschuetz, Stefan Weder, Le Xie, Marco Caversaccio, Stefan Weber, Tom Williamson

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 11/2016

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Abstract

Purpose

The accuracy achievable when utilizing image guidance depends to a large extent on the accuracy with which the patient can be registered to preoperative image data. This work proposes a method for the registration of the temporal bone based on surface matching and investigates the achievable accuracy of the technique.

Methods

Fourteen human temporal bones were utilized for evaluation; incisions were made, fiducial screws were implanted to act as a ground truth, and imaging was performed. The positions of the fiducials and surface of the mastoid were extracted from image data and reference positions defined at the round window and the mastoid surface. The surface of the bone was then digitized using a tracked pointer within the region exposed by the incisions and the physical and image point clouds registered, with the result compared to the fiducial-based registration.

Results

Results of one case were excluded due to a problem with the ground truth registration. In the remaining cases an accuracy of \(0.16\pm 0.09\) and \(0.23\pm 0.1\) mm was observed relative to the ground truth at the surface of the mastoid and round window, respectively.

Conclusions

A technique for the registration of the temporal bone was proposed, based on surface matching after exposure of the mastoid surface, and evaluated on human temporal bone specimens. The results reveal that high-accuracy patient-to-image registration is possible without the use of fiducial screws.
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Metadaten
Titel
Surface matching for high-accuracy registration of the lateral skull base
verfasst von
Chaozheng Zhou
Lukas Anschuetz
Stefan Weder
Le Xie
Marco Caversaccio
Stefan Weber
Tom Williamson
Publikationsdatum
01.11.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 11/2016
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-016-1394-3

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