Multiparametric Mapping of Knee Joint with Magnetic Resonance Fingerprinting

膝关节磁共振指纹多参数绘图

基本信息

项目摘要

PROJECT SUMMARY Osteoarthritis (OA) is a degenerative joint disease, affecting more than 27 million people in the United States alone. This large affected population and the severe consequent debility of OA lead to significant expenses to the health care system. OA is characterized by biochemical, structural and morphologic degradation of components of the extracellular matrix (ECM) of articular cartilage. The ECM is composed of primarily two groups of macromolecules including proteoglycan (PG) and collagen fibers. Early diagnosis of cartilage degeneration would require the ability to non-invasively detect changes in PG concentration and collagen integrity before morphological changes occur. T1, T2 and T1ρ relaxation times are affected by these pathological processes and are the most widely used biochemical cartilage MRI sequences worldwide. The overarching goal of this proposal is to develop, optimize, and translate the magnetic resonance fingerprinting (MRF) framework, which allows for simultaneous, morphological, volumetric, and quantitative multiparametric mapping [T1, T2, T1ρ, B1+ and proton density (PD)] to the knee joint in a much shorter time (≤10 minutes) than conventional individual parametric mapping on a standard 3T clinical scanner. The proposed MRF-based multiparametric mapping approach can be easily incorporated into routine research/clinical protocols for multi- tissue assessment of the knee joint without exogenous contrast agents and could serve as future imaging biomarkers for disease modifying therapies for OA.
项目总结

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Ravinder Regatte其他文献

Ravinder Regatte的其他文献

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{{ truncateString('Ravinder Regatte', 18)}}的其他基金

Multiparametric Mapping of Knee Joint with Magnetic Resonance Fingerprinting
膝关节磁共振指纹多参数绘图
  • 批准号:
    10541223
  • 财政年份:
    2021
  • 资助金额:
    $ 62.07万
  • 项目类别:
Data-Driven Learning Framework for Fast Quantitative Knee Joint Mapping
用于快速定量膝关节绘图的数据驱动学习框架
  • 批准号:
    10430275
  • 财政年份:
    2021
  • 资助金额:
    $ 62.07万
  • 项目类别:
Data-Driven Learning Framework for Fast Quantitative Knee Joint Mapping
用于快速定量膝关节绘图的数据驱动学习框架
  • 批准号:
    10296235
  • 财政年份:
    2021
  • 资助金额:
    $ 62.07万
  • 项目类别:
Intervertebral Disc Mechanics with Functional GRASP-MRI
具有功能性 GRASP-MRI 的椎间盘力学
  • 批准号:
    10328260
  • 财政年份:
    2021
  • 资助金额:
    $ 62.07万
  • 项目类别:
Zero Echo Time Imaging of Knee Joint
膝关节零回波时间成像
  • 批准号:
    9893211
  • 财政年份:
    2020
  • 资助金额:
    $ 62.07万
  • 项目类别:
Rapid Quantitative Assessment of Knee Joint with Compressed Sensing
利用压缩感知对膝关节进行快速定量评估
  • 批准号:
    10455507
  • 财政年份:
    2020
  • 资助金额:
    $ 62.07万
  • 项目类别:
Rapid Quantitative Assessment of Knee Joint with Compressed Sensing
利用压缩感知对膝关节进行快速定量评估
  • 批准号:
    10686034
  • 财政年份:
    2020
  • 资助金额:
    $ 62.07万
  • 项目类别:
Rapid Quantitative Assessment of Knee Joint with Compressed Sensing
利用压缩感知对膝关节进行快速定量评估
  • 批准号:
    10227958
  • 财政年份:
    2020
  • 资助金额:
    $ 62.07万
  • 项目类别:
Imaging Biomarkers of Knee Osteoarthritis
膝骨关节炎的影像生物标志物
  • 批准号:
    9323286
  • 财政年份:
    2016
  • 资助金额:
    $ 62.07万
  • 项目类别:
Imaging Biomarkers of Knee Osteoarthritis
膝骨关节炎的影像生物标志物
  • 批准号:
    9532083
  • 财政年份:
    2016
  • 资助金额:
    $ 62.07万
  • 项目类别:

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