Automatic chorda tympani segmentation with weakly supervised conditional adversarial networks

Rueben A. Banalagay; Jack H. Noble

doi:10.1117/12.2655616

3 April 2023 Automatic chorda tympani segmentation with weakly supervised conditional adversarial networks

Rueben A. Banalagay, Jack H. Noble

Proceedings Volume 12466, Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling; 124660W (2023) https://doi.org/10.1117/12.2655616
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Abstract

Cochlear Implants (CI) are a widely successful neural-prosthetic device for improving quality of life for individuals experiencing severe to profound hearing loss. A minimally invasive technique for inserting the CI electrode, percutaneous cochlear access, typically involves a surgical trajectory through the facial recess. Image-based surgical planning techniques are heavily reliant on accurate segmentation of the chorda tympani since it is one of the delineating structures of the facial recess. Furthermore, damage to this structure can lead to loss of taste for the patient. However, the chorda’s thin nature and the surrounding appearance of pneumatized bone pose difficulties when segmenting this structure in conventional CT. Our previous automatic method still leads to unacceptable inaccuracies in difficult images. In this work, we propose the use of a conditional generative adversarial network for automatic segmentation of this structure. We use a weakly supervised approach, leveraging a dataset of sixteen hand-labelled images and 130 weakly-labelled images acquired through automatic atlas-based techniques. Our resulting network displays a 49% increase in segmentation performance over our previous automatic method with a mean localization error of 0.49mm. Even in the worst case, our method still provides sub-millimeter localization errors of 0.82mm. These results are encouraging for potential use in clinical settings as safe trajectory planning typically involves 1 mm error margins to sensitive structures.

Conference Presentation

Citation Download Citation

Rueben A. Banalagay and Jack H. Noble "Automatic chorda tympani segmentation with weakly supervised conditional adversarial networks", Proc. SPIE 12466, Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, 124660W (3 April 2023); https://doi.org/10.1117/12.2655616

ACCESS THE FULL ARTICLE

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