Atlas-Based Segmentation of Temporal Bone Anatomy

Overview

Journal Int J Comput Assist Radiol Surg

Publisher Springer

Specialties General Surgery
Radiology

Date 2017 Aug 31

PMID 28852952

Citations 20

Authors

Kimerly A Powell

Tong Liang

Brad Hittle

Don Stredney

Thomas Kerwin

Gregory J Wiet

Affiliations

Soon will be listed here.

Abstract

Purpose: To develop a time-efficient automated segmentation approach that could identify critical structures in the temporal bone for visual enhancement and use in surgical simulation software.

Methods: An atlas-based segmentation approach was developed to segment the cochlea, ossicles, semicircular canals (SCCs), and facial nerve in normal temporal bone CT images. This approach was tested in images of 26 cadaver bones (13 left, 13 right). The results of the automated segmentation were compared to manual segmentation visually and using DICE metric, average Hausdorff distance, and volume similarity.

Results: The DICE metrics were greater than 0.8 for the cochlea, malleus, incus, and the SCCs combined. It was slightly lower for the facial nerve. The average Hausdorff distance was less than one voxel for all structures, and the volume similarity was 0.86 or greater for all structures except the stapes.

Conclusions: The atlas-based approach with rigid body registration of the otic capsule was successful in segmenting critical structures of temporal bone anatomy for use in surgical simulation software.

Citing Articles

Optimizing spatial normalization of multisubject inner ear MRI: comparison of different geometry-preserving co-registration approaches.

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Automated volumetric analysis of the inner ear fluid space from hydrops magnetic resonance imaging using 3D neural networks.

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Three-dimensional replica of the temporal bone in the teaching of human anatomy.

Senne J, Franco A, Lisboa C, Junqueira J, Panzarella F, Soares M Surg Radiol Anat. 2024; 46(8):1345-1353.

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Zangpo D, Uehara K, Kondo K, Kato M, Yoshimiya M, Nakatome M Forensic Sci Med Pathol. 2023; 20(2):472-479.

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