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Mesh morphing strategies for image-based in-silico musculoskeletal biomechanics

基于图像的计算机肌肉骨骼生物力学的网格变形策略

基本信息

批准号：
1808811
负责人：
金额：
--
依托单位：
University of Leeds
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2016
资助国家：
英国
起止时间：
2016 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1808811
关键词：
Mesh morphing strategies image based

项目摘要

Background and benefitsConsiderable growth in musculoskeletal intervention is predicted in the next two decades, increasing the need to develop, improve and target interventions. Such developments can be achieved through in-silico models, such as patient-specific finite element models. It is well known that a hexahedral mesh for such models is beneficial on the accuracy of the computational analysis. However, the automatic construction of hexahedral meshes is a research area on its own and therefore the development of image-specific hexahedral meshes is restricted to available tools which require multiple manual steps, making the accuracy of the process is highly user-dependent.AimsTo facilitate reproducibility and accuracy in the next-generation of in-silico patient-specific musculoskeletal models by developing mesh morphing strategies, applicable to meshes from multiple tools.The new mesh morphing strategies will allow existing image-based meshes, developed in the current time-consuming fashion, to be automatically adapted to a new subject, significantly speeding up the model development process, without compromising on mesh quality.Three anatomic tissue sites have been strategically chosen for the development and testing of the tool. Each site provides unique challenges representing milestones in the technical development (detailed below). In addition, the tool can be applied to rapidly develop models from the available image databases (both internal and public) for each anatomic site chosen.Research projectThis PhD project will develop new morphing or warping algorithms. State-of-the-art will be advanced by creating multi-body meshes including image-based information such as grey-scale values.The project will consist of several aspects:1/ Building standard hexahedral mesh of the tissues on each anatomic site of interest (hip, ankle, spine) using meshing tools (IA-FEMesh, tools embedded in Finite Element Software's, or tools developed during the PhD).2/ Development and implementation of relatively generic morphing or warping tools.3/ Validation of the developed tool using (pre-)clinical image databases from iMBE, or public repositories, on the hip, the ankle and the spine. The superiority of using hexahedral meshes will be demonstrated in accurately modelling incompressible materials and tissues. The new developed meshes will be used to assess the difference in contact mechanics between tetrahedral meshes and hexahedral meshes.The three applications (spine, hip and ankle) represent areas of existing image databases and modelling expertise within the IMBE. The hexahedral mesh development and morphing methods will be applied to each anatomical area in turn, with additional complexity introduced at each stage:Spine: The intervertebral disc is responsible for the majority of the movement possible in the human spine and its degeneration is the source of debilitating pain. The relative simple overall shape makes the disc a good subject for initial mesh and morphing development in two and three dimensions. A possible extension is to capture the layered structure within the disc.Hip: The cartilage covering the pelvic side of the hip joint is one of the sites where damage can occur at an early age, linked with osteoarthritis in later life. The shape of this tissue presents additional challenges. Applying the initial methods here will demonstrate how much shape change the morphing methodology can achieve. A possible extension is to include the 'labral' tissue which surrounds the cartilage at the edge of the cavity.Ankle: The ankle joint is prone to post-traumatic osteoarthritis, with very small contact areas between bones and small anatomical changes linked to high functional change. Morphing a mesh to fit to the ankle bones will present the additional challenge of resolving multiple meshes at a contact surface, as well as capturing the shape of each bone.

背景和益处预计在未来20年内，肌肉骨骼干预会有相当大的增长，这增加了开发、改进和靶向干预的需求。这种发展可以通过计算机模拟模型来实现，例如患者特定的有限元模型。众所周知，六面体网格对这种模型的计算分析的准确性是有益的。然而，六面体网格的自动构建本身就是一个研究领域，因此图像特定六面体网格的开发仅限于需要多个手动步骤的可用工具，使得该过程的准确性高度依赖于用户。目的为了通过开发网格变形策略来促进下一代计算机模拟患者特定肌肉骨骼模型的再现性和准确性，适用于多种工具的网格。新的网格变形策略将允许现有的基于图像的网格，以目前耗时的方式开发，自动适应新的主题，显着加快模型开发过程，而不影响网格质量。三个解剖组织部位已被战略性地选择用于开发和测试的工具。每个站点都提供了代表技术开发里程碑的独特挑战（详见下文）。此外，该工具可以应用于从现有的图像数据库（内部和公共）为每个选定的解剖部位快速开发模型。研究项目这个博士项目将开发新的变形或扭曲算法。该项目将包括以下几个方面：1/使用网格工具（IA-FEMesh，有限元软件中嵌入的工具，或博士期间开发的工具）在每个感兴趣的解剖部位（髋关节，踝关节，脊柱）上建立标准的六面体组织网格。2/开发和实施相对通用的变形或扭曲工具。3/使用来自iMBE的（预）临床图像数据库或公共存储库，在髋关节，踝关节和脊柱上验证开发的工具。使用六面体网格的优越性将被证明在精确建模不可压缩的材料和组织。新开发的网格将用于评估四面体网格和六面体网格之间的接触力学差异。三个应用程序（脊柱，髋关节和踝关节）代表了IMBE内现有图像数据库和建模专业知识的领域。六面体网格开发和变形方法将依次应用于每个解剖区域，在每个阶段引入额外的复杂性：脊柱：椎间盘负责人体脊柱中可能的大部分运动，其退化是使人衰弱的疼痛的来源。相对简单的整体形状使椎间盘成为初始网格和二维和三维变形发展的良好对象。一个可能的扩展是捕获椎间盘内的分层结构。髋关节：覆盖髋关节骨盆侧的软骨是早期可能发生损伤的部位之一，与晚年的骨关节炎有关。这种组织的形状带来了额外的挑战。在这里应用初始方法将演示变形方法可以实现多大的形状变化。一个可能的扩展是包括“盂唇”组织，它围绕着腔边缘的软骨。踝关节：踝关节容易发生创伤后骨关节炎，骨骼之间的接触面积非常小，解剖学上的小变化与高功能变化有关。变形网格以适应踝关节骨骼将带来额外的挑战，即在接触表面处解析多个网格，以及捕获每个骨骼的形状。