Population-Based Shape and Biomechanical Analysis of Hip Pathoanatomy

基于人群的髋关节病理解剖形状和生物力学分析

基本信息

批准号：
8892826
负责人：
Andrew Edward Anderson
金额：
$ 32.8万
依托单位：
UNIVERSITY OF UTAH
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-08-01 至 2016-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8892826
关键词：
Address Affect Anatomy Back Biological Biology Biomechanics Biomedical Computing Clinical Collaborations Computer Simulation Computer software Coupled Data Deformity Diagnosis Discipline Disease Dysplasia Ensure Etiology Femur Finite Element Analysis Goals Grant Head Hip Joint Hip Osteoarthritis Hip region structure Image Individual Libraries Link Magnetic Resonance Imaging Measurement Measures Mechanics Medical Medical Device Medical Imaging Medicine Methods Modeling Modification Motion Patients Population Process Research Shapes Software Design Statistical Mechanics Study Section Subgroup Surface Testing Time Tissues Variant Work X-Ray Computed Tomography accurate diagnosis acetabulum base biomechanical model clinically relevant computer science computerized data processing data modeling flexibility improved open source patient population population based predictive modeling public health relevance response shape analysis software development therapy design three-dimensional modeling tool

项目摘要

DESCRIPTION (provided by applicant): The ability to visualize and quantify tissue shape and its corresponding mechanical function is essential in a broad range of medical disciplines to characterize disease, obtain an accurate diagnosis, plan treatment, and design medical devices. Volumetric images, obtained using CT or MRI, can be reconstructed into 3D models. These models may provide a more thorough description than that afforded by measurements of 2D images alone. However, it is difficult to extract clinically relevant metrics from 3D surfaces. Equally important, objective methods to identify and compare 3D anatomy are not readily available; it remains challenging to decipher which variations are normal and which are pathological. Tools that can statistically analyze 3D shapes of biological tissues in a consistent and clinically meaningful fashion would address each of these issues. The lack of tools available to analyze shape and associate shape parameters with mechanical predictions represents a substantial gap in biomedical computing. We propose to integrate and apply SSM and FE to streamline the process of generating many FE models at once to study how anatomy and variations thereof affect tissue mechanics. In Aim 1 we will develop tools to relate shape analysis data to clinically relevant parameters by modifying and enhancing the existing software developed under the National Alliance for Medical Image Computing (NA- MIC), ShapeWorks. We will then integrate ShapeWorks with the open-source biomechanical modeling software, FEBio, for shape-function biomechanical analyses. In Aim 2 we will apply SSM tools from Aim 1 to quantify variation in femoral head anatomy and acetabular coverage among normal hips and hips with femoroacetabular impingement (FAI). Shape analysis data will be correlated to 2D radiographic and 3D model-based measures to determine if current clinical metrics can describe FAI deformities. The integrated platform will then be used in Aim 3 to examine the correspondence between shape and mechanics in a population of patients with acetabular dysplasia. We will test the hypothesis that shape, and shape-alone (as derived by ShapeWorks) can predict hip joint contact mechanics. Our long-term goals are to make ShapeWorks the standard for shape analyses in medicine, and to make the coupled use of ShapeWorks and FEBio a standard for investigating relationships between shape and mechanical function. The work proposed herein will establish the framework for achieving these goals.

描述（由申请人提供）：在广泛的医学学科中，至关重要的是可视化和量化组织形状及其相应的机械功能的能力，以表征疾病，获得准确的诊断，计划治疗和设计医疗设备。使用CT或MRI获得的体积图像可以重建为3D模型。这些模型可能会提供比仅由2D图像的测量所提供的更彻底的描述。但是，很难从3D表面提取临床相关的指标。同样重要的，识别和比较3D解剖结构的客观方法不容易获得；破译哪些变化是正常且哪些是病态的挑战。可以以一致且临床上有意义的方式统计地分析生物组织的3D形状的工具将解决这些问题中的每一个。缺乏可用于分析形状和与机械预测相关形状参数的工具，这代表了生物医学计算的巨大差距。我们建议整合并应用SSM和FE，以简化立即生成许多FE模型的过程，以研究其解剖结构和变异如何影响组织力学。在AIM 1中，我们将通过修改和增强根据ShapeWorks的国家医学图像计算（NA-MIC）（NA-MIC）下开发的现有软件来开发将形状分析数据与临床相关参数相关联的工具。然后，我们将将ShapeWorks与开源生物力学建模软件Febio集成，以进行形状功能生物力学分析。在AIM 2中，我们将使用AIM 1的SSM工具来量化股骨头解剖结构的变化和股骨抗稳定障碍（FAI）的正常臀部和髋部髋部覆盖率的变化。形状分析数据将与基于2D射线照相和基于3D模型的措施相关，以确定当前的临床指标是否可以描述FAI畸形。然后，集成平台将用于AIM 3中，以检查髋臼发育不良患者的形状和力学之间的对应关系。我们将检验以下假设，即形状和形状 - 单位（由ShapeWorks衍生）可以预测髋关节接触力学。我们的长期目标是使ShapeWorks成为医学形状分析的标准，并使对ShapeWorks和Febio的耦合使用成为研究形状和机械功能之间关系的标准。本文提出的工作将建立实现这些目标的框架。