Dynamical DTI: A method for time-resolved in vivo diffusion tensor imaging

动态 DTI：一种体内时间分辨扩散张量成像方法

基本信息

批准号：
8011729
负责人：
Eric Edward Sigmund
金额：
$ 20.31万
依托单位：
NEW YORK UNIVERSITY SCHOOL OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-01-05 至 2014-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8011729
关键词：
Algorithms Alzheimer&apos s Disease Animal Model Anisotropy Area Attention Behavior Biological Markers Brain Brain region Chronic Clinical Compartment syndromes Complex Detection Diabetes Mellitus Diagnostic Diffusion Diffusion Magnetic Resonance Imaging Diffusion weighted imaging Ensure Exertion Fiber Functional disorder Future Goals Histocompatibility Testing Human Image Imaging technology In Situ Infarction Infiltration Inflammation Injury Ischemia Knee Lesion Magnetic Resonance Imaging Maps Measurement Measures Methods Metric Microscopic Monitor Morphologic artifacts Morphology Motion Multiple Sclerosis Muscle Muscle function Muscular Dystrophies Musculoskeletal Diseases Myocardial Infarction Myocardium Neurodegenerative Disorders Noise Organ Output Pathology Pattern Phase Physiologic pulse Physiological Population Positioning Attribute Process Productivity Protocols documentation Public Health Radial Radiology Specialty Relaxation Resolution Rotation Scanning Scheme Series Signal Transduction Skeletal Muscle Stroke System Systems Analysis Techniques Testing Time Tissues Training Translating Validation Work body system clinical application clinically relevant design healthy volunteer heart motion image reconstruction improved in vivo indexing kinematics musculoskeletal disorder diagnosis patient population programs public health relevance reconstruction research study tool tumor virtual white matter

项目摘要

DESCRIPTION (provided by applicant): Diffusion tensor imaging (DTI) is an established magnetic resonance imaging (MRI) protocol with many clinical applications, especially in the brain. DTI quantitative biomarkers are sensitive to neurodegenerative disease lesions (e.g. multiple sclerosis, Alzheimer's), focal ischemia (stroke), and tissue infiltrations from tumors. The scan also provides a noninvasive means for white matter tissue connectivity via fiber tractography. These tools also have great value in other areas of the body with microscopic anisotropy, particularly skeletal and cardiac muscle. Ex vivo, animal model, and static in vivo imaging has shown the diagnostic value of DTI in cases of ischemia, inflammation, infarct, or muscle injury. However, conventional DTI does not lend itself to temporally dynamic processes, which excludes from view a wide range of important physiological functions. The present proposal is devoted to implementing a new DTI scheme that overcomes this limitation and enables the full diffusion tensor and all of its derived indices to be dynamically monitored. If successful, this effort promises to open an entirely new radiological diagnostic for debilitating musculoskeletal disorders such as muscular dystrophy or diabetes. PUBLIC HEALTH RELEVANCE: The relevance of this project to public health lies in its potential to translate a powerful technique of clinical radiology (diffusion tensor imaging) to the regime of dynamic time-resolved imaging. If successful, it promises to impact diagnosis of musculoskeletal disorders (such as muscular dystrophy, chronic exertional compartment syndrome, or diabetes), by tracking microarchitectural status during muscle exertion. Similarly, in the future, the technique may be applicable to the complex motion of the heart and allow the microscopic tissue state to be dynamically monitored in both the healthy state and in the case of infarct.

描述（由申请人提供）：扩散张量成像（DTI）是一种已建立的磁共振成像（MRI）协议，具有许多临床应用，特别是在大脑中。 DTI 定量生物标志物对神经退行性疾病病变（例如多发性硬化症、阿尔茨海默病）、局灶性缺血（中风）和肿瘤组织浸润敏感。该扫描还提供了一种通过纤维束成像实现白质组织连接的无创方法。这些工具在具有微观各向异性的身体其他区域也具有巨大价值，特别是骨骼和心肌。离体、动物模型和静态体内成像显示了 DTI 在缺血、炎症、梗塞或肌肉损伤情况下的诊断价值。然而，传统的 DTI 不适合时间动态过程，从而排除了广泛的重要生理功能。目前的提案致力于实施一种新的 DTI 方案，该方案克服了这一限制，并使完整的扩散张量及其所有派生指数能够得到动态监控。如果成功，这项工作有望为肌肉萎缩症或糖尿病等衰弱性肌肉骨骼疾病开辟一种全新的放射诊断方法。公共健康相关性：该项目与公共健康的相关性在于其将强大的临床放射学技术（扩散张量成像）转化为动态时间分辨成像体系的潜力。如果成功，它有望通过跟踪肌肉运动过程中的微结构状态来影响肌肉骨骼疾病（例如肌营养不良、慢性运动筋膜室综合征或糖尿病）的诊断。同样，未来该技术可能适用于心脏的复杂运动，并允许在健康状态和梗塞情况下动态监测微观组织状态。