Development and Application of Muscle Diffusion Tensor MRI

肌肉弥散张量MRI的发展及应用

• 批准号: 10447787
• 负责人: BRUCE M. DAMON
• 金额: $ 39.01万
• 依托单位: CARLE FOUNDATION
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-05-07 至 2024-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10447787
• 关键词: Adult; Affect; Algorithms; Applied Research; Architecture; Atrophic; Basic Science; Biological; Biomechanics; Collaborations; Communities; Complement; Computer software; Data; Data Set; Development; Diameter; Diffusion; Diffusion Magnetic Resonance Imaging; Disease; Duchenne muscular dystrophy; Elements; Fatty acid glycerol esters; Fiber; Foundations; Free Will; Generations; Growth; Health; Health Status; Human; Image; Impairment; Infiltration; Inflammation; Injury; Knowledge; Length; Longevity; Magnetic Resonance Imaging; Mechanics; Methods; Muscle; Muscle Fibers; Muscle function; Musculoskeletal; Myopathy; Outcome; Oxygen; Pathologic; Pathology; Patients; Pattern; Peripheral; Physiological; Physiology; Production; Property; Research; Research Personnel; Resources; Rest; Risk; Sarcomeres; Shapes; Software Tools; Source; Structure; Techniques; Technology; Testing; Three-Dimensional Image; Translational Research; Water; Work; computerized data processing; data integration; distributed data; imaging modality; improved; in vivo; insight; meetings; muscular structure; novel; prevent; public health relevance; spatial relationship; technology platform; tool; translational study; whole body imaging

PROJECT SUMMARY We will advance the quantitative understanding of how human muscle structure impacts function, in health and disease; and we will share the magnetic resonance imaging (MRI) resources used to generate this knowledge freely with the muscle research community. At every level of biological complexity, muscle structure significantly influences muscle function. These properties include the intermediate-scale relationships known as muscle architecture: the shape and orientation of a muscle’s fibers with respect to its mechanical line of action. Our understanding of how muscle architecture affects muscle function remains incomplete, however, and our tools for studying these relationships are insufficiently developed. As a result, there are critical gaps in our understanding of how pathologically altered muscle architecture in diseases such as Duchenne muscular dystrophy (DMD) impairs in vivo, whole-muscle function and exacerbates these muscles’ risk of further injury. To provide this knowledge, we will advance the technology and application of quantitative MRI techniques such as diffusion-tensor imaging (DTI), overcoming several remaining technical challenges and developing an improved understanding of muscle architecture and function. Aim 1 is to validate MRI methods for quantifying muscle architecture in a broad range of states of muscle health and disease, at rest and during contraction. We will validate DTI fiber-tracking algorithms for quantifying the architecture of healthy, atrophied, inflamed, and fat-infiltrated muscles, and we will develop and validate methods that combine DTI fiber-tracking and rapidly acquired 3D images to quantify muscle architecture during contraction. Aim 2 is to advance the quantitative understanding of the functional impact of muscle architecture in healthy and dystrophic human muscle. We will quantify the relationships among muscle architecture and force generation, strain development, and the sufficiency of peripheral oxygen supply. The outcome of this work will be a newly identified physiologic mechanism of injury in DMD and the scientific foundation for using advanced structural and functional MR imaging to evaluate and guide therapy. Aim 3 is distribute data and software for MRI-based muscle structure-function analysis. A whole-body imaging dataset will be made publically available. Also, a software toolkit for processing these data will be made freely available and supported through collaborations. Overall, we will develop optimal methods for analyzing DTI data from healthy and diseased muscles and integrating these data with those available from other MRI sequences. We will create new knowledge about the relationships between muscle structure and function and how they are impacted by disease. By developing these advances into a freely available dataset and toolkit, we will enable musculoskeletal researchers worldwide to apply these methods in applied physiology and translational studies.

项目摘要 我们将进一步了解人类肌肉结构如何影响功能的定量理解， 健康与疾病；我们将共享曾经用于的磁共振成像（MRI）资源 与肌肉研究界自由产生这种知识。在各个级别的生物学 复杂性，肌肉结构显着影响肌肉功能。这些属性包括 中间尺度的关系称为肌肉建筑：肌肉纤维的形状和方向 关于其机械作用线。我们对肌肉建筑如何影响肌肉的理解 但是，功能仍然不完整，我们研究这些关系的工具不足 发达。结果，我们对病理改变肌肉的理解存在关键的差距 Duchenne肌肉营养不良（DMD）等疾病中的结构会损害体内，全肌功能 并加剧了这些肌肉进一步受伤的风险。为了提供这些知识，我们将促进 定量MRI技术的技术和应用，例如扩散张量成像（DTI），克服 剩下的几个技术挑战，并提高了对肌肉建筑和 功能。目标1是验证MRI方法以量化在广泛状态下的肌肉结构 肌肉健康和疾病，休息和收缩期间。我们将验证DTI光纤跟踪算法 量化健康，萎缩，发炎和脂肪浸润的肌肉的结构，我们将发展和 验证将DTI光纤跟踪和快速获取的3D图像结合的方法来量化肌肉 收缩期间的建筑。目标2是提高对功能影响的定量理解 健康和营养不良的人类肌肉中的肌肉结构。我们将量化肌肉之间的关系 建筑和力的产生，应变发展以及外周氧供应的充足性。这 这项工作的结果将是新近确定的DMD损伤的生理机制 使用先进的结构和功能性MR成像来评估和引导治疗的基础。 AIM 3是 用于基于MRI的肌肉结构功能分析的分布数据和软件。全身成像数据集 将公开可用。此外，将免费提供用于处理这些数据的软件工具包 并通过合作支持。总体而言，我们将开发最佳方法来分析从 健康且解散的肌肉，并将这些数据与其他MRI序列可用的数据相结合。我们 将创建有关肌肉结构和功能之间关系以及它们的关系的新知识 受疾病的影响。通过将这些进步开发到免费的可用数据集和工具包中，我们将启用 全世界的肌肉骨骼研究人员将这些方法应用于应用生理学和翻译研究。