Finite element analysis in spine research

被引:88
作者
Fagan, MJ
Julian, S
Mohsen, AM
机构
[1] Univ Hull, Dept Engn, Kingston Upon Hull HU6 7RX, N Humberside, England
[2] Hull Royal Infirm, Dept Orthopaed & Traumatol, Kingston Upon Hull HU3 2JZ, N Humberside, England
关键词
finite element analysis; spine; modelling;
D O I
10.1243/09544110260216568
中图分类号
R318 [生物医学工程];
学科分类号
0831 [生物医学工程];
摘要
Finite element analysis is a widely accepted tool used in many industries and research activities. It allows new designs to be thoroughly 'tested' before a prototype is even manufactured, components and systems which cannot readily be experimented upon to be examined, and 'diagnostic' investigations to be undertaken. Finite element models are already making an important contribution to our understanding of the spine and its components. Models are being used to reveal the biomechanical function of the spine and its behaviour when healthy, diseased or damaged. They are also providing support in the design and application of spinal instrumentation. The spine is a very complex structure, and many of the models are simplified and idealized because of the complexity and uncertainty in the geometry, material properties and boundary conditions of these problems. This type of modelling simplification is not peculiar to spinal modelling problems. Indeed, the idealization is often a strength when there is such uncertainty and variation between one individual and another, allowing cause-effect relationships to be isolated and fully explored, and the inherent variability of experimental tests to be eliminated. This paper reviews the development of finite element analysis in spinal modelling. It shows how modelling provides a wealth of information on our physiological performance, reduces our dependence on animal and cadaveric experiments and is an invaluable complement to clinical studies. It also leads to the conclusion that, as computing power and software capabilities increase, it is quite conceivable that in the future it will be possible to generate patient-specific models that could be used for patient assessment and even pre- and inter-operative planning.
引用
收藏
页码:281 / 298
页数:18
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