Modelling Framework for In-Vivo Knee Joint Contact Analysis

体内膝关节接触分析的建模框架

• 批准号: 2569487
• 金额: --
• 依托单位: CARDIFF UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2569487
• 关键词: Modelling; Framework; Vivo; Knee; Joint

8.75M people in the UK have sought treatment for osteoarthritis (OA) and the condition costs the UK economy £10B/year (Versus Arthritis). Current treatments only alleviate the symptoms or potentially delay progression. To quantify the efficacy of future therapeutics, accurate evaluation of normal and pathological in-vivo knee joint function (movement and loading) are essential.Traditionally, computational modelling of knee loading relies on marker-based motion capture as input data, creating inaccuracies in the contact dynamics due to soft tissue errors associated with markers attached to the skin. As an innovative response to this limitation, Dynamic Biplane X-Ray imaging (DBX), developed at Cardiff, captures real-time moving images of a volunteer's knee joint during activity. For this studentship, DBX, in combination with high fidelity Magnetic Resonance Imaging (MRI) will provide highly-accurate, subject-specific input data to develop more realistic dynamic musculoskeletal and contact models with associated estimates of tissue loading in healthy and osteoarthritic knees.This unique interdisciplinary project will integrate existing imaging, experimental and computational technologies into a novel multi-scale modelling framework with the aim to: - Provide a subject-specific knee modelling framework accounting for movement, loading, anatomy and muscle activity - Calibrate a knee cartilage model accounting for control and OA cartilage properties using DBX and MRI data - Validate the multi-scale model using in-vivo data for healthy and OA volunteersBased on the robust modelling framework developed during the studentship, early surgical and non-surgical therapeutics aiming to normalise the knee's mechanical environment can then be explored.

英国有875万人寻求治疗骨关节炎（OA），这种疾病每年花费英国经济100亿英镑（与关节炎相比）。目前的治疗只能缓解症状或潜在地延迟进展。为了量化未来治疗的疗效，准确评估正常和病理性体内膝关节功能（运动和负荷）是必不可少的。传统上，膝关节负荷的计算建模依赖于基于标记的运动捕捉作为输入数据，由于与皮肤上的标记相关的软组织误差，导致接触动力学不准确。作为对这一限制的创新回应，在卡迪夫开发的动态双平面X射线成像（DBX）在活动期间捕获志愿者膝关节的实时移动图像。对于这个奖学金，DBX，结合高保真磁共振成像（MRI）将提供高度准确的，特定于主题的输入数据，以开发更逼真的动态肌肉骨骼和接触模型，并对健康和骨关节炎膝关节的组织负荷进行相关估计。这个独特的跨学科项目将整合现有的成像，将实验和计算技术整合到一个新的多尺度建模框架中，目的是：- 提供受试者特定的膝关节建模框架，考虑运动、负荷，解剖学和肌肉活动-使用DBX和MRI数据校准膝关节软骨模型，说明对照和OA软骨特性-使用In-MRI数据验证多尺度模型，健康和OA志愿者的体内数据基于学生期间开发的强大建模框架，可以探索旨在使膝关节力学环境正常化的早期手术和非手术治疗。