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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

13.02.2021 | Original Article

Atlas-based segmentation of cochlear microstructures in cone beam CT

verfasst von: Kimerly A. Powell, Gregory J. Wiet, Brad Hittle, Grace I. Oswald, Jason P. Keith, Don Stredney, Steven Arild Wuyts Andersen

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 3/2021

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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.

Vorheriger Artikel Label cleaning and propagation for improved segmentation performance using fully convolutional networks

Nächster Artikel Performance-aware programming for intraoperative intensity-based image registration on graphics processing units

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Titel: Atlas-based segmentation of cochlear microstructures in cone beam CT
verfasst von: Kimerly A. Powell
Gregory J. Wiet
Brad Hittle
Grace I. Oswald
Jason P. Keith
Don Stredney
Steven Arild Wuyts Andersen
Publikationsdatum: 13.02.2021
Verlag: Springer International Publishing
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 3/2021
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-020-02304-x

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Abstract

Purpose

Methods

Results

Conclusions

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