Patient-Specific Simulation of Implant Placement and Function for Cochlear Implantation Surgery Planning

Mario Ceresa, Nerea Mangado Lopez, Hector Dejea Velardo, Noemi Carranza Herrezuelo, Pavel Mistrik, Hans Martin Kjer, Sergio Vera, Rasmus Reinhold Paulsen, Miguel Angel González Ballester

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

We present a framework for patient specific electrical stimulation of the cochlea, that allows to perform in-silico analysis of implant placement and function before surgery. A Statistical Shape Model (SSM) is created from high-resolution human μCT data to capture important anatomical details. A Finite Element Model (FEM) is built and adapted to the patient using the results of the SSM. Electrical simulations based on Maxwell’s equations for the electromagnetic field are performed on this personalized model. The model includes implanted electrodes and nerve fibers. We present the results for the bipolar stimulation protocol and predict the voltage spread and the locations of nerve excitation.
Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention – MICCAI 2014 : Proceedings of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Part II
EditorsPolina Golland, Nobuhiko Hata, Christian Barillot, joachim Hornegger, Robert Howe
PublisherSpringer
Publication date2014
Pages49-56
ISBN (Print)978-3-319-10469-0
ISBN (Electronic)978-3-319-10470-6
DOIs
Publication statusPublished - 2014
Event17th International Conference on Medical Image Computing and Computer Assisted Intervention - Massachusetts Institute of Technology, Cambridge, MA, Boston, United States
Duration: 14 Sep 201418 Sep 2014
Conference number: 17
http://miccai2014.org/
http://miccai2014.org/cfp.html

Conference

Conference17th International Conference on Medical Image Computing and Computer Assisted Intervention
Number17
LocationMassachusetts Institute of Technology, Cambridge, MA
CountryUnited States
CityBoston
Period14/09/201418/09/2014
Internet address
SeriesLecture Notes in Computer Science
Volume8674
ISSN0302-9743

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