Preoperative angular insertion depth prediction in case of lateral wall cochlear implant electrode arrays

Mohammad M. R. Khan; Robert F. Labadie M.D.; Jack H. Noble

doi:10.1117/12.2566504

16 March 2020 Preoperative angular insertion depth prediction in case of lateral wall cochlear implant electrode arrays

Mohammad M. R. Khan, Robert F. Labadie M.D., Jack H. Noble

Author Affiliations +

Proceedings Volume 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling; 113151R (2020) https://doi.org/10.1117/12.2566504
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

Cochlear implants (CI) use an array of electrodes surgically threaded into the cochlea to restore hearing sensation. Techniques for predicting the insertion depth of the array into the cochlea could guide surgeons towards more optimal placement of the array to reduce trauma and preserve the residual hearing. After analyzing the CT images of 86 lateral wall positioned straight electrode array CI recipients, a linear regression model is proposed for insertion depth prediction based on cochlea size, array geometry, and base insertion depth (BID). The model is able to accurately predict angular insertion depths with standard deviation of 41 degrees.

Conference Presentation

Citation Download Citation

Mohammad M. R. Khan, Robert F. Labadie M.D., and Jack H. Noble "Preoperative angular insertion depth prediction in case of lateral wall cochlear implant electrode arrays", Proc. SPIE 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 113151R (16 March 2020); https://doi.org/10.1117/12.2566504

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