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International Journal of Computer Assisted Radiology and Surgery
Published in: International Journal of Computer Assisted Radiology and Surgery 2/2020

01-02-2020 | Computed Tomography | Original Article

Multi-atlas segmentation of the facial nerve from clinical CT for virtual reality simulators

Authors: Bradley M. Gare, Thomas Hudson, Seyed A. Rohani, Daniel G. Allen, Sumit K. Agrawal, Hanif M. Ladak

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 2/2020

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Abstract

Purpose

To create a novel, multi-atlas-based segmentation algorithm of the facial nerve (FN) requiring minimal user intervention that could be easily deployed into an existing open-source toolkit. Specifically, the mastoid, tympanic and labyrinthine segments of the FN would be segmented.

Methods

High-resolution micro-computed tomography (micro-CT) scans were pre-segmented and used as atlases of the FN. The algorithm requires the user to place four fiducials to orient the target, low-resolution clinical CT scan, and generate a centerline along the nerve. Based on this data, the appropriate atlas is chosen by the algorithm and then rigidly and non-rigidly registered to provide an automated segmentation of the FN.

Results

The algorithm was successfully developed and implemented into an existing open-source software framework. Validation was performed on 28 temporal bones, where the automated segmentation was compared against gold-standard manual segmentation by an expert. The algorithm achieved an average Dice metric of 0.76 and an average Hausdorff distance of 0.17 mm for the tympanic and mastoid portions of the FN when segmenting healthy facial nerves, which are similar to previously published algorithms.

Conclusion

A successful FN segmentation algorithm was developed using a high-resolution micro-CT multi-atlas approach. The algorithm was unique in its ability to segment the entire intratemporal FN, with the exception of the meatal segment, which was not included in the segmentation as it was not discernible from the vestibulocochlear nerve within the internal auditory canal. It will be published as an open-source extension to allow use in virtual reality simulators for automatic segmentation, greatly reducing the time for expert segmentation and verification.
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Metadata
Title
Multi-atlas segmentation of the facial nerve from clinical CT for virtual reality simulators
Authors
Bradley M. Gare
Thomas Hudson
Seyed A. Rohani
Daniel G. Allen
Sumit K. Agrawal
Hanif M. Ladak
Publication date
01-02-2020
Publisher
Springer International Publishing
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 2/2020
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-019-02091-0

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