  The goals of this dissertation are to fully automate the image processing
techniques needed in the post-operative stage of IGCIP and to perform a
thorough analysis of (a) the robustness of the automatic image processing
techniques used in IGCIP and (b) assess the sensitivity of the IGCIP process as
a whole to individual components. The automatic methods that have been
developed include the automatic localization of both closely- and
distantly-spaced CI electrode arrays in post-implantation CTs and the automatic
selection of electrode configurations based on the stimulation patterns.
Together with the existing automatic techniques developed for IGCIP, the
proposed automatic methods enable an end-to-end IGCIP process that takes pre-
and post-implantation CT images as input and produces a patient-customized
electrode configuration as output.
