A Web-Based Automated Image Processing Research Platform for Cochlear Implantation-Related Studies

Jan Margeta*, Raabid Hussain, Paula López Diez, Anika Morgenstern, Thomas Demarcy, Zihao Wang, Dan Gnansia, Octavio Martinez Manzanera, Clair Vandersteen, Hervé Delingette, Andreas Buechner, Thomas Lenarz, François Patou, Nicolas Guevara

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

The robust delineation of the cochlea and its inner structures combined with the detection of the electrode of a cochlear implant within these structures is essential for envisaging a safer, more individualized, routine image-guided cochlear implant therapy. We present Nautilus—a web-based research platform for automated pre- and post-implantation cochlear analysis. Nautilus delineates cochlear structures from pre-operative clinical CT images by combining deep learning and Bayesian inference approaches. It enables the extraction of electrode locations from a post-operative CT image using convolutional neural networks and geometrical inference. By fusing pre- and post-operative images, Nautilus is able to provide a set of personalized pre- and post-operative metrics that can serve the exploration of clinically relevant questions in cochlear implantation therapy. In addition, Nautilus embeds a self-assessment module providing a confidence rating on the outputs of its pipeline. We present a detailed accuracy and robustness analyses of the tool on a carefully designed dataset. The results of these analyses provide legitimate grounds for envisaging the implementation of image-guided cochlear implant practices into routine clinical workflows.

Original languageEnglish
Article number6640
JournalJournal of Clinical Medicine
Volume11
Issue number22
Number of pages21
ISSN2077-0383
DOIs
Publication statusPublished - Nov 2022

Keywords

  • 3D model
  • Cochlea
  • Cochlear implant
  • Computed tomography
  • Deep learning
  • Image analysis
  • Image segmentation
  • Machine learning
  • Tonotopic mapping
  • Visualization

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