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关于人类耳蜗有限元模型的临床导向性介绍与综述

A clinically oriented introduction and review on finite element models of the human cochlea.

作者信息

Kikidis Dimitrios, Bibas Athanasios

机构信息

1st Department of Otorhinolaryngology, Head and Neck Surgery, National and Kapodistrian University of Athens, Hippocrateion General Hospital, 114 Vas. Sophias Avenue, 11527 Athens, Greece.

1st Department of Otorhinolaryngology, Head and Neck Surgery, National and Kapodistrian University of Athens, Hippocrateion General Hospital, 114 Vas. Sophias Avenue, 11527 Athens, Greece ; UCL Ear Institute, 332 Grays Inn Road, London WC1X 8EE, UK.

出版信息

Biomed Res Int. 2014;2014:975070. doi: 10.1155/2014/975070. Epub 2014 Nov 4.

DOI:10.1155/2014/975070
PMID:25530973
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4235757/
Abstract

Due to the inaccessibility of the inner ear, direct in vivo information on cochlear mechanics is difficult to obtain. Mathematical modelling is a promising way to provide insight into the physiology and pathology of the cochlea. Finite element method (FEM) is one of the most popular discrete mathematical modelling techniques, mainly used in engineering that has been increasingly used to model the cochlea and its elements. The aim of this overview is to provide a brief introduction to the use of FEM in modelling and predicting the behavior of the cochlea in normal and pathological conditions. It will focus on methodological issues, modelling assumptions, simulation of clinical scenarios, and pathologies.

摘要

由于内耳难以接近,很难获得关于耳蜗力学的直接体内信息。数学建模是深入了解耳蜗生理和病理的一种有前景的方法。有限元法(FEM)是最流行的离散数学建模技术之一,主要用于工程领域,现已越来越多地用于对耳蜗及其组成部分进行建模。本综述的目的是简要介绍有限元法在模拟和预测正常及病理条件下耳蜗行为方面的应用。它将重点关注方法学问题、建模假设、临床场景模拟和病理情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0c/4235757/c7edcccdf13b/BMRI2014-975070.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0c/4235757/aadc9e38eaf1/BMRI2014-975070.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0c/4235757/c7edcccdf13b/BMRI2014-975070.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0c/4235757/aadc9e38eaf1/BMRI2014-975070.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0c/4235757/c7edcccdf13b/BMRI2014-975070.002.jpg

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