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 language | English |
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Title of host publication | Medical 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 |
Editors | Polina Golland, Nobuhiko Hata, Christian Barillot, joachim Hornegger, Robert Howe |
Publisher | Springer |
Publication date | 2014 |
Pages | 49-56 |
ISBN (Print) | 978-3-319-10469-0 |
ISBN (Electronic) | 978-3-319-10470-6 |
DOIs | |
Publication status | Published - 2014 |
Event | 17th International Conference on Medical Image Computing and Computer Assisted Intervention - Massachusetts Institute of Technology, Cambridge, MA, Boston, United States Duration: 14 Sept 2014 → 18 Sept 2014 Conference number: 17 http://miccai2014.org/ http://miccai2014.org/cfp.html |
Conference
Conference | 17th International Conference on Medical Image Computing and Computer Assisted Intervention |
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Number | 17 |
Location | Massachusetts Institute of Technology, Cambridge, MA |
Country/Territory | United States |
City | Boston |
Period | 14/09/2014 → 18/09/2014 |
Internet address |
Series | Lecture Notes in Computer Science |
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Volume | 8674 |
ISSN | 0302-9743 |