Biomechanical Modelling to Characterize Soft Tissue Contributions to Hip Joint Stability and Loading Mechanics

生物力学建模来表征软组织对髋关节稳定性和负载力学的贡献

基本信息

  • 批准号:
    RGPIN-2022-04802
  • 负责人:
  • 金额:
    $ 1.82万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

Background. A healthy and well-functioning musculoskeletal system is paramount for our population's overall health, increasing life expectancy, healthcare system, and sustainable economy. An improved understanding of musculoskeletal hip joint function can help better characterize the mechanical performance and injury mechanisms in healthy subjects. Although soft tissue contributions of muscles and ligaments are fundamental to mobilize and stabilize the hip joint, it is unclear how we can incorporate them into computational models and simulations to better examine subject-specific joint mechanics and adverse loading conditions. Objectives. The long-term goal of this interdisciplinary research program is to implement a biomechanical modelling and simulation framework to characterize subject-specific soft tissue contributions to the hip joint. To achieve this, we will develop 3D strain mapping imaging techniques to examine the contributions of soft tissues towards joint loading and stability. Subject lower-limbs will be scanned using magnetic resonance imaging (MRI) while a custom joint loading ergometer will apply a known load to the hip. Loading conditions will be parameterized to understand which soft tissue components contribute to dynamic stability. We will develop multi-dimensional diffusion imaging techniques to examine soft tissue architecture and relationships between fibre orientation and joint stability. A novel diffusion tensor imaging method will be formulated for the weighted MRI sequences to examine soft tissue structures (muscles, tendons, capsular/cruciate ligaments). This will examine relationships between individual material properties of tissue anisotropy and contractile directions. We will develop a computational simulations package to examine joint loading mechanics and the adverse conditions under dynamic soft tissue loading. The dynamic strain mapping and diffusion tensor imaging analyses will be used to reconstruct robust subject-specific multiscale musculoskeletal and finite element simulations to examine dynamic hip joint stability and determine the adverse conditions for failure. Impact. The most important findings will help scientists and engineers further understand the soft tissue complexities of a healthy and stable hip joint. This will also help equip allied health clinicians to administer adequate pre/rehabilitation protocols and regiments, as they will learn which soft tissues are responsible for stability. This will also equip surgeons to perform the best and safest subject-specific surgery for optimal function and recovery, as they will learn which tissue structures to safely remove or avoid during hip arthroplasty or arthroscopy surgery. The program will train students to advance novel dynamic joint loading, biomechanical imaging, and computational modelling and simulations techniques as well as prepare them for diverse career paths that necessitate multidisciplinary science and engineering experience.
背景资料。一个健康和功能良好的肌肉骨骼系统对我们人口的整体健康、延长预期寿命、医疗保健系统和可持续经济至关重要。提高对髋关节肌肉骨骼功能的了解有助于更好地描述健康受试者的力学性能和损伤机制。尽管肌肉和韧带的软组织作用是活动和稳定髋关节的基础,但我们还不清楚如何将它们整合到计算模型和模拟中,以更好地检查特定受试者的关节力学和不利的负荷条件。目标。这一跨学科研究计划的长期目标是实施生物力学建模和模拟框架,以表征特定对象的软组织对髋关节的贡献。为了实现这一目标,我们将开发3D应变映射成像技术来检查软组织对关节载荷和稳定性的贡献。受试者的下肢将使用磁共振成像(MRI)进行扫描,而定制的关节负荷测力仪将对髋部施加已知的载荷。加载条件将被参数化,以了解哪些软组织组件有助于动态稳定性。我们将开发多维扩散成像技术来检查软组织结构以及纤维取向和关节稳定性之间的关系。一种新的扩散张量成像方法将被制定用于加权MRI序列以检查软组织结构(肌肉、肌腱、囊/十字韧带)。这将检验组织各向异性的个别材料特性与收缩方向之间的关系。我们将开发一个计算模拟程序包来检查关节加载机制和动态软组织加载下的不利条件。动态应变图和扩散张量成像分析将用于重建特定对象的多尺度肌肉骨骼和有限元模拟,以检查动态髋关节稳定性和确定失败的不利条件。冲击力。最重要的发现将帮助科学家和工程师进一步了解健康稳定的髋关节的软组织复杂性。这也将有助于装备盟军卫生临床医生,以执行适当的预/康复方案和团,因为他们将了解哪些软组织负责稳定。这也将使外科医生能够进行最好和最安全的特定主题手术,以实现最佳功能和恢复,因为他们将了解在髋关节置换或关节镜手术中安全地移除或避免哪些组织结构。该项目将培训学生推进新颖的动态关节加载、生物力学成像、计算建模和模拟技术,并为需要多学科科学和工程经验的多样化职业道路做好准备。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Ng, Geoffrey其他文献

Ng, Geoffrey的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Ng, Geoffrey', 18)}}的其他基金

Biomechanical Modelling to Characterize Soft Tissue Contributions to Hip Joint Stability and Loading Mechanics
生物力学建模来表征软组织对髋关节稳定性和负载力学的贡献
  • 批准号:
    DGECR-2022-00028
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Launch Supplement

相似国自然基金

Improving modelling of compact binary evolution.
  • 批准号:
    10903001
  • 批准年份:
    2009
  • 资助金额:
    20.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

M2DESCO - Computational Multimode Modelling Enabled Design of Safe & Sustainable Multi-Component High-Entropy Coatings
M2DESCO - 计算多模式建模支持安全设计
  • 批准号:
    10096988
  • 财政年份:
    2024
  • 资助金额:
    $ 1.82万
  • 项目类别:
    EU-Funded
SMILE - Semantic Modelling of Intent through Large-language Evaluations
SMILE - 通过大语言评估进行意图语义建模
  • 批准号:
    10097766
  • 财政年份:
    2024
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative R&D
Advanced Modelling Platform with Moving Ventricular Walls for Increasing Speed to Market of Heart Pumps
具有移动心室壁的先进建模平台可加快心脏泵的上市速度
  • 批准号:
    10071797
  • 财政年份:
    2024
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative R&D
Domino - Computational Fluid Dynamics Modelling of Ink Droplet Breakup for Mitigating Mist Formation during inkjet printing
Domino - 墨滴破碎的计算流体动力学模型,用于减轻喷墨打印过程中的雾气形成
  • 批准号:
    10090067
  • 财政年份:
    2024
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative R&D
Macroeconomic and Financial Modelling in an Era of Extremes
极端时代的宏观经济和金融模型
  • 批准号:
    DP240101009
  • 财政年份:
    2024
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Projects
Population genomic methods for modelling bacterial pathogen evolution
用于模拟细菌病原体进化的群体基因组方法
  • 批准号:
    DE240100316
  • 财政年份:
    2024
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Early Career Researcher Award
PIDD-MSK: Physics-Informed Data-Driven Musculoskeletal Modelling
PIDD-MSK:物理信息数据驱动的肌肉骨骼建模
  • 批准号:
    EP/Y027930/1
  • 财政年份:
    2024
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Fellowship
FLF Next generation atomistic modelling for medicinal chemistry and biology
FLF 下一代药物化学和生物学原子建模
  • 批准号:
    MR/Y019601/1
  • 财政年份:
    2024
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Fellowship
Modelling the impact of geomagnetically induced currents on UK railways
模拟地磁感应电流对英国铁路的影响
  • 批准号:
    NE/Y001176/1
  • 财政年份:
    2024
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Research Grant
Hybrid AI and multiscale physical modelling for optimal urban decarbonisation combating climate change
混合人工智能和多尺度物理建模,实现应对气候变化的最佳城市脱碳
  • 批准号:
    EP/X029093/1
  • 财政年份:
    2024
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Fellowship
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了