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Non-invasive detection and monitoring of bone strength in osteoporosis

Non-invasive detection and monitoring of bone strength in osteoporosis
骨质疏松症骨强度的无创检测和监测
批准号:
396742-2010
负责人:
Boyd, Steven
金额:
$12.16万
依托单位:
依托单位国家:
加拿大
项目类别:
Strategic Projects - Group
财政年份:
2011
资助国家:
加拿大
项目状态:
已结题
起止时间:
2011-01-01 至 2012-12-31

项目摘要

项目成果

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中文摘要
翻译
骨质疏松症是一种骨密度降低的疾病,导致骨折的风险增加,最常见于髋关节,脊柱和手腕。在我们的老龄化加拿大人口中,骨质疏松症的患病率正在迅速增加,并对我们的卫生保健系统造成重大负担。本研究开发了一种新的诊断成像技术,用于监测骨质疏松症,结合最近开发的三维成像技术(高分辨率外周定量计算机断层扫描; HR-pQCT)与有限元(FE)方法来估计骨强度。有限元法是工程设计和试验中常用的一种数值模拟技术,是估算复杂材料强度的理想方法。结合起来,这种新的工具将允许对受试者特定的骨强度进行无创评估,这将代表基于密度测量的临床评估方法的重大转变。它将提供第一个能够基于临床图像数据测量患者骨强度的工具。除了临床适用性外,这种结合成像和FE建模的方法将使新的研究能够研究骨产量和/或骨折,骨和骨髓相之间的相互作用(固液相互作用)以及营养和/或药物运输。拟议的工作将集中在三个目标:(1)开发一种快速,有效的线性有限元建模方法,使HR-pQCT测量的骨微结构可以建模,以确定骨强度,并这样做比目前的方法使用广泛可用的廉价计算硬件快得多;(2)调查纳入本构材料属性,
英文摘要
Osteoporosis is a disease of decreased bone density resulting in an increased risk of fracture, most often in the hip, spine and wrist. In our aging Canadian population, the prevalence of osteoporosis is rapidly increasing, and represents a significant burden on our health care system. This research develops a new diagnostic imaging technique for monitoring osteoporosis by combining a recently developed three-dimensional imaging technology (high-resolution peripheral quantitative computed tomography; HR-pQCT) with the finite element (FE) method to estimate bone strength. The FE method is a numerical simulation technique commonly used in engineering design and testing, and is ideal for estimated the strength of complex materials. Combined, this novel tool will allow non-invasive assessment of subject-specific bone strength, and this would represent a significant shift from the clinical assessment approach that is based on density measurements. It will provide the first tool to be able to measure a patients' bone strength based on clinical image data. In addition to clinical applicability, this combined imaging and FE modeling approach would enable new research to study how bone yields and/or fractures, the interaction between bone and marrow phases (solid-fluid interaction) and nutrient and/or drug transport. The proposed work will focus on three objectives: (1) To develop a fast, efficient linear FE modeling approach so that HR-pQCT measurements of bone microarchitecture can be modeled to determine bone strength, and to do so considerably faster than current methods using widely available inexpensive computing hardware; (2) To investigate incorporation of constitutive material properties for
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Non-invasive assessment of bone strength
  • 批准号:
    RGPIN-2019-04135
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.66万
  • 财政年份:
    2022
  • 负责人:
    Boyd, Steven
  • 依托单位:
Non-invasive assessment of bone strength
  • 批准号:
    RGPIN-2019-04135
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.66万
  • 财政年份:
    2021
  • 负责人:
    Boyd, Steven
  • 依托单位:
Non-invasive assessment of bone strength
  • 批准号:
    RGPIN-2019-04135
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.66万
  • 财政年份:
    2020
  • 负责人:
    Boyd, Steven
  • 依托单位:
Non-invasive assessment of bone strength
  • 批准号:
    RGPIN-2019-04135
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.66万
  • 财政年份:
    2019
  • 负责人:
    Boyd, Steven
  • 依托单位:
国内基金
海外基金
基于深穿透拉曼光谱的安全光照剂量的深层病灶无创检测与深度预测
  • 批准号:
    82372016
  • 项目类别:
    面上项目
  • 资助金额:
    48.00万元
  • 批准年份:
    2023
  • 负责人:
    林俐
  • 依托单位: