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Updated: Feb 23, 2026

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures

Published on: July 2, 2014

Atlas-Based Segmentation of Temporal Bone Anatomy.

Kimerly A Powell¹, Tong Liang², Brad Hittle³

¹Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA. kimerly.powell@osumc.edu.

International Journal of Computer Assisted Radiology and Surgery

|August 31, 2017

Summary

An automated atlas-based approach accurately segments temporal bone structures like the cochlea and facial nerve. This method enhances visual details for surgical simulation software.

Keywords:

Atlas-based segmentation Image registration Surgical simulation Temporal bone anatomy

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Last Updated: Feb 23, 2026

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Published on: July 2, 2014

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Area of Science:

Medical Imaging
Anatomy
Surgical Simulation

Background:

Accurate segmentation of temporal bone anatomy is crucial for otologic surgery planning and simulation.
Current manual segmentation methods are time-consuming and prone to inter-observer variability.

Purpose of the Study:

To develop and validate a time-efficient automated segmentation method for critical temporal bone structures.
To enable visual enhancement and application in surgical simulation software.

Main Methods:

An atlas-based segmentation approach was developed to identify the cochlea, ossicles, semicircular canals (SCCs), and facial nerve.
The method utilized rigid body registration of the otic capsule on normal temporal bone CT images.
Validation involved comparison with manual segmentation using DICE metrics, Hausdorff distance, and volume similarity on 26 cadaver specimens.

Main Results:

High DICE metrics (>0.8) were achieved for the cochlea, malleus, incus, and SCCs.
Average Hausdorff distance was below one voxel for all segmented structures.
Volume similarity exceeded 0.86 for most structures, with slightly lower performance for the facial nerve and stapes.

Conclusions:

The atlas-based automated segmentation approach is effective for critical temporal bone structures.
This technique provides accurate anatomical data suitable for surgical simulation software.
The developed method offers a time-efficient alternative to manual segmentation for otologic applications.