Software for improved accuracy and rapid tracking of kinematics from dynamic Xray

用于提高动态 X 射线运动学精度和快速跟踪的软件

基本信息

  • 批准号:
    8592857
  • 负责人:
  • 金额:
    $ 14.91万
  • 依托单位:
  • 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:
    2013-07-15 至 2014-01-14
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Orthopaedic disorders are a leading cause of disability in the U.S., with arthritis and/or spine problems adversely affecting quality of life fo more than 20% of adults. With an aging population, the rate of disability from orthopaedic disorders has been increasing steadily. While advances in diagnostic imaging (including CT, MRI and ultrasound) have greatly improved our ability to detect structural changes in musculoskeletal tissues, they typically reveal little about joint function. There is evidence that abnormal mechanical joint function contributes significantly to the development and progression of many types of joint disease. There is, therefore, a significant clinical need for the widespread use of technologies that can identify subtle abnormalities in joint function that, if left untreate, can compromise long-term joint health. The specific goal of this Phase I SBIR project is to extend C-Motion's capabilities for bone pose (position and orientation) estimation by incorporating the bi-planar radiography imaging expertise of Dr. Tashman's laboratory at the University of Pittsburgh. Dynamic Stereo X-ray is the only currently available technology that can achieve sub-mm accuracy during a wide variety of functional movements. To date, however, the potential promise of DSX to provide a unique and powerful tool for diagnosing subtle motion disorders and identifying at-risk joints has yet to be realized as a clinical tool, ad is still an under-used clinical research tool. The successful completion of this project sets the stage for the development of a fundamentally novel approach to quantitative radiography that would turn a limited-use research tool into a powerful clinical device for dynamic assessment of musculoskeletal function. Just as cine-angiography has revolutionized diagnosis and treatment of cardiovascular disorders, widespread availability of dynamic musculoskeletal imaging could significantly improve treatment for a wide variety of orthopaedic disorders.
描述(申请人提供):在美国,骨科疾病是导致残疾的主要原因,关节炎和/或脊柱问题对超过20%的成年人的生活质量造成不利影响。随着人口老龄化,骨科疾病的致残率一直在稳步上升。虽然诊断成像(包括CT、MRI和超声波)的进步极大地提高了我们检测肌肉骨骼组织结构变化的能力,但它们通常揭示的关节功能很少。有证据表明,机械关节功能异常在多种关节疾病的发生发展中起着重要作用。因此,存在广泛的临床需求。 使用可以识别关节功能细微异常的技术,如果不加以治疗,可能会损害长期的关节健康。这个第一阶段SBIR项目的具体目标是通过结合匹兹堡大学塔什曼博士实验室的双平面放射成像专业知识,扩展C-Motion的骨骼姿势(位置和方向)估计能力。动态立体X射线是目前唯一可用的技术,可以在各种功能运动中实现低于毫米的精度。然而,到目前为止,dsx为诊断细微运动障碍和识别有风险的关节提供独特而强大的工具的潜在希望尚未作为临床工具实现,ad仍然是一种未得到充分利用的临床研究工具。该项目的成功完成为开发一种全新的定量放射成像方法奠定了基础,该方法将把一种有限使用的研究工具转变为用于动态评估肌肉骨骼功能的强大临床设备。就像电影血管造影术使心血管疾病的诊断和治疗发生了革命性的变化一样,动态肌肉骨骼成像的广泛应用可以显著改善对各种骨科疾病的治疗。

项目成果

期刊论文数量(0)
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专利数量(0)

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W. Scott Selbie其他文献

Co-contraction uses dual control of agonist-antagonist muscles to improve motor performance
共同收缩利用主动肌和拮抗肌的双重控制来提高运动表现
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Christopher M Saliba;M. Rainbow;W. Scott Selbie;Kevin J Deluzio;Stephen H. Scott
  • 通讯作者:
    Stephen H. Scott
In vivo lumbo-sacral forces and moments during constant speed running at different stride lengths
不同步长恒速跑步时的体内腰骶力和力矩
  • DOI:
    10.1080/02640410802298235
  • 发表时间:
    2008
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    J. Seay;W. Scott Selbie;J. Hamill
  • 通讯作者:
    J. Hamill
Commentary on "Modelling knee flexion effects on joint power absorption and adduction moment".
“模拟膝关节屈曲对关节功率吸收和内收力矩的影响”的评论。
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ross H Miller;S. Brandon;W. Scott Selbie;K. Deluzio
  • 通讯作者:
    K. Deluzio

W. Scott Selbie的其他文献

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{{ truncateString('W. Scott Selbie', 18)}}的其他基金

Software for improved accuracy and rapid tracking of kinematics from dynamic Xray
用于提高动态 X 射线运动学精度和快速跟踪的软件
  • 批准号:
    9036935
  • 财政年份:
    2013
  • 资助金额:
    $ 14.91万
  • 项目类别:
A Probabilistic Pose Estimation Algorithm for 3D Motion Capture Data
3D 运动捕捉数据的概率姿势估计算法
  • 批准号:
    8200961
  • 财政年份:
    2011
  • 资助金额:
    $ 14.91万
  • 项目类别:
Analytical Tools for Optimizing Neurorehabilitation of Gait
优化步态神经康复的分析工具
  • 批准号:
    7161059
  • 财政年份:
    2006
  • 资助金额:
    $ 14.91万
  • 项目类别:
Induced Acceleration Analysis for Rehabilitation
康复诱导加速分析
  • 批准号:
    6898328
  • 财政年份:
    2003
  • 资助金额:
    $ 14.91万
  • 项目类别:
Induced Acceleration Analysis for Rehabilitation
康复诱导加速分析
  • 批准号:
    6739272
  • 财政年份:
    2003
  • 资助金额:
    $ 14.91万
  • 项目类别:
Induced Acceleration Analysis for Rehabilitation
康复诱导加速分析
  • 批准号:
    6587042
  • 财政年份:
    2003
  • 资助金额:
    $ 14.91万
  • 项目类别:
Inverse Dynamics Using Instrumented Assistive Technology
使用仪表辅助技术的逆动力学
  • 批准号:
    6550091
  • 财政年份:
    2002
  • 资助金额:
    $ 14.91万
  • 项目类别:
VIRTUAL MUSCLE: A HIERARCHICAL MATHEMATICAL MUSCLE MODEL
虚拟肌肉:分层数学肌肉模型
  • 批准号:
    6142075
  • 财政年份:
    2000
  • 资助金额:
    $ 14.91万
  • 项目类别:
MOVEMENT VISUALIZATION AND ANALYSIS FOR REHABILITATION
康复运动可视化和分析
  • 批准号:
    6388050
  • 财政年份:
    1999
  • 资助金额:
    $ 14.91万
  • 项目类别:
MOVEMENT VISUALIZATION AND ANALYSIS FOR REHABILITATION
康复运动可视化和分析
  • 批准号:
    6134794
  • 财政年份:
    1999
  • 资助金额:
    $ 14.91万
  • 项目类别:

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