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Orbital and Maxillofacial Computer Aided Surgery: Patient-Specific Finite Element Models To Predict Surgical Outcomes

机译:眼眶和颌面计算机辅助手术:用于预测手术结果的患者特定有限元模型

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摘要

This paper addresses an important issue raised for the clinical relevance of Computer-Assisted Surgical applications, namely the methodology used to automatically build patient-specific Finite Element (FE) models of anatomical structures. From this perspective, a method is proposed, based on a technique called the Mesh-Matching method, followed by a process that corrects mesh irregularities. The Mesh-Matching algorithm generates patient-specific volume meshes from an existing generic model. The mesh regularization process is based on the Jacobian matrix transform related to the FE reference element and the current element. This method for generating patient-specific FE models is first applied to Computer-Assisted maxillofacial surgery, and more precisely to the FE elastic modelling of patient facial soft tissues. For each patient, the planned bone osteotomies (mandible, maxilla, chin) are used as boundary conditions to deform the FE face model, in order to predict the aesthetic outcome of the surgery. Seven FE patient-specific models were successfully generated by our method. For one patient, the prediction of the FE model is qualitatively compared with the patient's post-operative appearance, measured from a Computer Tomography scan. Then, our methodology is applied to Computer-Assisted orbital surgery. It is, therefore, evaluated for the generation of eleven patient-specific FE poroelastic models of the orbital soft tissues. These models are used to predict the consequences of the surgical decompression of the orbit. More precisely, an average law is extrapolated from the simulations carried out for each patient model. This law links the size of the osteotomy (i.e. the surgical gesture) and the backward displacement of the eyeball (the consequence of the surgical gesture).
机译:本文解决了计算机辅助外科应用的临床相关性提出的重要问题,即用于自动建立患者特定的解剖结构有限元(FE)模型的方法。从这个角度出发,提出了一种基于称为网格匹配方法的技术的方法,然后提出了校正网格不规则性的过程。网格匹配算法从现有的通用模型生成患者特定的体积网格。网格正则化过程基于与FE参考元素和当前元素有关的Jacobian矩阵变换。这种用于生成特定于患者的有限元模型的方法首先应用于计算机辅助颌面外科手术,更确切地说是应用于患者面部软组织的有限元弹性模型。对于每位患者,计划的骨截骨术(下颌骨,上颌骨,下巴)均作为边界条件来变形FE面部模型,以预测手术的美学效果。通过我们的方法成功生成了七个FE患者特定模型。对于一名患者,通过计算机断层扫描扫描,将FE模型的预测与患者的术后外观进行定性比较。然后,我们的方法被应用于计算机辅助眼眶手术。因此,评估了眼眶软组织的11种患者特定的FE多孔弹性模型的生成。这些模型用于预测眼眶手术减压的后果。更精确地,从对每个患者模型进行的模拟推断出平均律。该法则将截骨术的大小(即手术姿势)与眼球向后移位(手术姿势的结果)联系在一起。

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