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Atlas-based segmentation of cochlear microstructures in cone beam CT

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

To develop an automated segmentation approach for cochlear microstructures [scala tympani (ST), scala vestibuli (SV), modiolus (Mod), mid-modiolus (Mid-Mod), and round window membrane (RW)] in clinical cone beam computed tomography (CBCT) images of the temporal bone for use in surgical simulation software and for preoperative surgical evaluation.

Methods

This approach was developed using the publicly available OpenEar (OE) Library that includes temporal bone specimens with spatially registered CBCT and 3D micro-slicing images. Five of these datasets were spatially aligned to our internal OSU atlas. An atlas of cochlear microstructures was created from one of the OE datasets. An affine registration of this atlas to the remaining OE CBCT images was used for automatically segmenting the cochlear microstructures. Quantitative metrics and visual review were used for validating the automatic segmentations.

Results

The average DICE metrics were 0.77 and 0.74 for the ST and SV, respectively. The average Hausdorff distance (AVG HD) was 0.11 mm and 0.12 mm for both scalae. The mean distance between the centroids for the round window was 0.32 mm, and the mean AVG HD was 0.09 mm. The mean distance and angular rotation between the mid-modiolar axes were 0.11 mm and 9.8 degrees, respectively. Visually, the segmented structures were accurate and similar to that manually traced by an expert observer.

Conclusions

An atlas-based approach using 3D micro-slicing data and affine spatial registration in the cochlear region was successful in segmenting cochlear microstructures of temporal bone anatomy for use in simulation software and potentially for pre-surgical planning and rehearsal.

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Acknowledgements

This research was supported by NIDCD/NIH 1R01-DC011321 and by funding from the Ohio State University College of Medicine Office of Research Bridge Funding Program and Nationwide Children’s Hospital, Department of Otolaryngology - Columbus OH. Dr. Andersen was funded by the Independent Research Fund Denmark (8026-00003B).

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Authors and Affiliations

  1. Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA

    Kimerly A. Powell & Brad Hittle

  2. Department of Otolaryngology - Head and Neck Surgery, The Ohio State University and Nationwide Children’s Hospital, Columbus, OH, USA

    Gregory J. Wiet & Steven Arild Wuyts Andersen

  3. Department of Biomedical Engineering, The Ohio State University, Columbus, OH, USA

    Grace I. Oswald & Jason P. Keith

  4. Interface Laboratory, The Ohio State University, Columbus, OH, USA

    Don Stredney

  5. Department of Otorhinolaryngology–Head and Neck Surgery, Rigshospitalet, Copenhagen, Denmark

    Steven Arild Wuyts Andersen

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  1. Kimerly A. Powell
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  2. Gregory J. Wiet
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  4. Grace I. Oswald
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Correspondence to Kimerly A. Powell.

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Conflict of interest

This study was funded by NIDCD/NIH (1R01-DC011321), The Ohio State University College of Medicine Office of Research Bridge Funding Program and Nationwide Children’s Hospital, Columbus, OH.

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All procedures performed in this study involving human participants were in accordance with the ethical standards of the Ohio State University Institutional Review Board and have been performed in accordance with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Powell, K.A., Wiet, G.J., Hittle, B. et al. Atlas-based segmentation of cochlear microstructures in cone beam CT. Int J CARS 16, 363–373 (2021). https://doi.org/10.1007/s11548-020-02304-x

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  • DOI: https://doi.org/10.1007/s11548-020-02304-x

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