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Integrating Automated Mesh Development into the NA-MIC Toolkit

将自动化网格开发集成到 NA-MIC 工具包中

基本信息

批准号：
7646214
负责人：
NICOLE M GROSLAND
金额：
$ 45.95万
依托单位：
UNIVERSITY OF IOWA
依托单位国家：
美国
项目类别：
财政年份：
2006
资助国家：
美国
起止时间：
2006-09-20 至 2011-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7646214
关键词：
Algorithms Anatomy Architecture Biological Biological Neural Networks Biomechanics Biomedical Computing Brain Cardiology Characteristics Childhood Clinical Communities Complex Computer Simulation Computer software Data Set Decision Making Development Diagnosis Drug Formulations Elbow Elements Engineering Fingers Finite Element Analysis Fracture Future Generations Goals Hand Human body Image Investigation Joints Letters Literature Manuals Measurement Mechanics Medical Imaging Medical Research Methods Modeling Monitor Musculoskeletal Musculoskeletal System Operative Surgical Procedures Orthopedics Outcome Patients Physics Positioning Attribute Prevention Process Property Reporting Research Research Personnel Scanning Shoulder Specimen Stress Structure Surface Techniques Technology Time Upper Extremity Validation Work Wrist X-Ray Computed Tomography articular cartilage base bone bone geometry bone imaging design field study imaging Segmentation insight interest joint injury model development neuroimaging novel open source programs prototype response simulation three-dimensional modeling tool tool development

项目摘要

DESCRIPTION (provided by applicant): Musculoskeletal finite element (FE) analysis is an invaluable tool in orthopedic-related research. While it has provided significant biomechanical insight, the demands associated with modeling the geometrically complex structures of the human body often limit its utility. The often-prohibitive amount of model development time is further compounded by the time required to process medical image datasets to identify the distinct anatomical structures of interest. Yet this process is a necessary preprocessing step for model development. As a result, most of the analyses reported in the literature refer to 'average' bone geometry. The broad objective of our research plan is to integrate and expand methods to automate the development of specimen- / patient-specific finite element (FE) models into the NA-MIC toolkit. In pursuit of this objective we propose to merge unique technologies to automate image dataset segmentation; material property extraction and assignment; and direct FE model development (automated meshing). While direct physical scans of the bones of interest will be used to validate the automated image segmentation routines, experimental cadaveric contact stress measurements will provide a standard against which to validate the FE contact formulations. Furthermore, the FE models generated by our software package will be compared to models of the same bone(s) created via a commercial pre-processing package. While the bones/joints of the upper extremity represent the primary structures of interest proposed in this application, the tools will be applicable to many orthopedic applications. In addition to expanding the NA-MIC toolkit beyond the brain, the proposed project will expand the image segmentation routines and finite element meshing routines currently available. This proposal will ultimately yield specimen-specific FE models of the various joints of the upper extremity. Such models will position us to provide information about the load transfer, characteristics of the normal joints and in the future to demonstrate, for example, the effects of ligamentous instabilities, posttraumatic misalignments, fractures, and various surgical procedures.

描述(申请人提供)：肌肉骨骼有限元(FE)分析是骨科相关研究的宝贵工具。虽然它提供了重要的生物力学洞察力，但与建模人体复杂几何结构相关的要求往往限制了它的应用。通常令人望而却步的模型开发时间与处理医学图像数据集以识别感兴趣的不同解剖结构所需的时间进一步复杂化。然而，这一过程是模型开发的必要的预处理步骤。因此，文献中报道的大多数分析都是指“平均”的骨骼几何。我们研究计划的广泛目标是集成和扩展方法，以将特定于标本/患者的有限元(FE)模型的开发自动化到NA-MIC工具包中。为了实现这一目标，我们建议融合独特的技术，以自动化图像数据集分割、材料属性提取和分配以及直接开发有限元模型(自动网格化)。虽然将使用感兴趣的骨骼的直接物理扫描来验证自动图像分割例程，但实验身体接触应力测量将提供验证FE接触配方的标准。此外，我们的软件包生成的有限元模型将与通过商业前处理程序包创建的相同骨骼(S)的模型进行比较。虽然上肢的骨骼/关节代表了本申请中提出的主要感兴趣的结构，但这些工具将适用于许多整形外科应用。除了将NA-MIC工具包扩展到大脑之外，拟议的项目还将扩展目前可用的图像分割例程和有限元网格例程。这一建议最终将产生上肢不同关节的标本特定的有限元模型。这样的模型将使我们能够提供有关负荷转移的信息，正常关节的特征，并在未来证明，例如，韧带不稳定、创伤后对齐失调、骨折和各种外科手术的影响。