CONFERENCE PROCEEDINGS
Advanced Search
Home > Journals > J. Med. Imag. > Volume 10 > Issue 4 > Article
19 July 2023 Validation of active shape model techniques for intracochlear anatomy segmentation in computed tomography images
Rueben A. Banalagay, Robert F. Labadie, Jack H. Noble
Author Affiliations +
Journal of Medical Imaging, Vol. 10, Issue 4, 044003 (July 2023). https://doi.org/10.1117/1.JMI.10.4.044003
Abstract

Purpose

Cochlear implants (CIs) have been shown to be highly effective restorative devices for patients suffering from severe-to-profound hearing loss. Hearing outcomes with CIs depend on electrode positions with respect to intracochlear anatomy. Intracochlear anatomy can only be directly visualized using high-resolution modalities, such as micro-computed tomography (μCT), which cannot be used in vivo. However, active shape models (ASM) have been shown to be robust and effective for segmenting intracochlear anatomy in large scale datasets of patient computed tomographies (CTs). We present an extended dataset of μCT specimens and aim to evaluate the ASM’s performance more comprehensively than has been previously possible.

Approach

Using a dataset of 16 manually segmented cochlea specimens on μCTs, we found parameters that optimize mean CT segmentation performance and then evaluate the effect of library size on the ASM. The optimized ASM was further evaluated on a clinical dataset of 134 CT images to assess method reliability

Results

Optimized parameters lead to mean CT segmentation performance to 0.36 mm point-to-point error, 0.10 mm surface error, and 0.83 Dice score. Larger library sizes provide diminishing returns on segmentation performance and total variance captured by the ASM. We found our method to be clinically reliable with the main performance limitation that was found to be the candidate search process rather than model representation.

Conclusions

We have presented a comprehensive validation of the ASM for use in intracochlear anatomy segmentation. These results are critical to understand the limitations of the method for clinical use and for future development.
© 2023 Society of Photo-Optical Instrumentation Engineers (SPIE)
Citation Download Citation
Rueben A. Banalagay, Robert F. Labadie, and Jack H. Noble "Validation of active shape model techniques for intracochlear anatomy segmentation in computed tomography images," Journal of Medical Imaging 10(4), 044003 (19 July 2023). https://doi.org/10.1117/1.JMI.10.4.044003
Received: 12 September 2022; Accepted: 20 June 2023; Published: 19 July 2023
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $24.00
Non-members: $28.00 ADD TO CART
JOURNAL ARTICLE
 15 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation
Computed tomography
Education and training
Anatomy
Cochlea
Error analysis
Performance modeling
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top