| Autor: |
Ceresa M, Lopez NM, Velardo HD, Herrezuelo NC, Mistrik P, Kjer HM, Vera S, Paulsen RR, González Ballester MA |
| Jazyk: |
angličtina |
| Zdroj: |
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention [Med Image Comput Comput Assist Interv] 2014; Vol. 17 (Pt 2), pp. 49-56. |
| DOI: |
10.1007/978-3-319-10470-6_7 |
| Abstrakt: |
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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
|
