Magnetic Resonance Elastography

磁共振弹性成像

• 批准号: 10321678
• 负责人: Richard L. Ehman
• 金额: $ 39.75万
• 依托单位: MAYO CLINIC ROCHESTER
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-07-05 至 2025-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10321678
• 关键词: 3-Dimensional; Acoustics; Algorithms; Anisotropy; Awareness; Basic Science; Biological Markers; Biopsy; Brain; Brain Diseases; Breast; Cancer Detection; Cell physiology; Cells; Clinical Research; Complex; Computer software; Data; Data Set; Detection; Development; Devices; Diagnosis; Diagnostic; Disease; Engineering; Environment; Evaluation; Evolution; Fibrosis; Frequencies; Generations; Goals; Grant; Health; Hepatic; Image; Imaging Techniques; Imaging technology; Inflammation; Lighting; Liver; Liver Fibrosis; Magnetic Resonance Elastography; Magnetic Resonance Imaging; Malignant Neoplasms; Measures; Mechanics; Medical; Medicine; Methods; Modality; Modeling; Modulus; Morphologic artifacts; Motion; Motivation; Muscle; Organ; Patient Care; Patients; Performance; Periodicity; Physiologic pulse; Pilot Projects; Population; Prevalence; Process; Property; Protocols documentation; Reproducibility; Research; Research Personnel; Resolution; Rheology; Role; System; Techniques; Technology; Testing; Time; Tissue Model; Tissues; Translating; Translations; Validation; Work; base; chronic liver disease; clinical application; clinical diagnostics; clinical practice; clinically relevant; computerized data processing; design; elastography; flexibility; geometric structure; image reconstruction; improved; in vivo; innovation; liver biopsy; mechanical properties; mechanotransduction; motion sensitivity; nanometer; noninvasive diagnosis; novel; public health relevance; quantitative imaging; response; technology development; tool; volunteer; 3-Dimensional; Acoustics; Algorithms; Anisotropy; Awareness; Basic Science; Biological Markers; Biopsy; Brain; Brain Diseases; Breast; Cancer Detection; Cell physiology; Cells; Clinical Research; Complex; Computer software; Data; Data Set; Detection; Development; Devices; Diagnosis; Diagnostic; Disease; Engineering; Environment; Evaluation; Evolution; Fibrosis; Frequencies; Generations; Goals; Grant; Health; Hepatic; Image; Imaging Techniques; Imaging technology; Inflammation; Lighting; Liver; Liver Fibrosis; Magnetic Resonance Elastography; Magnetic Resonance Imaging; Malignant Neoplasms; Measures; Mechanics; Medical; Medicine; Methods; Modality; Modeling; Modulus; Morphologic artifacts; Motion; Motivation; Muscle; Organ; Patient Care; Patients; Performance; Periodicity; Physiologic pulse; Pilot Projects; Population; Prevalence; Process; Property; Protocols documentation; Reproducibility; Research; Research Personnel; Resolution; Rheology; Role; System; Techniques; Technology; Testing; Time; Tissue Model; Tissues; Translating; Translations; Validation; Work; base; chronic liver disease; clinical application; clinical diagnostics; clinical practice; clinically relevant; computerized data processing; design; elastography; flexibility; geometric structure; image reconstruction; improved; in vivo; innovation; liver biopsy; mechanical properties; mechanotransduction; motion sensitivity; nanometer; noninvasive diagnosis; novel; public health relevance; quantitative imaging; response; technology development; tool; volunteer

 DESCRIPTION (provided by applicant): Many disease processes cause profound changes in the mechanical properties of tissue, providing motivation for developing technologies to measure these properties for diagnostic purposes. In addition, over the last decade there has been growing awareness of the importance of tissue matrix mechanics on cellular function. Cells react to the dynamic and static properties of their matrix environment through mechanotransduction and cytoskeletal remodeling. It is now known that mechanobiology has an important role in the origin and evolution of many disease processes, including fibrosis and cancer. The goal of this research is to develop advanced MRI-based technologies for quantitatively assessing the mechanical properties of tissue and to explore and translate high-impact clinical and research applications. MR Elastography (MRE) is based on the principle that propagating mechanical waves reflect the properties of their medium. Shear waves are generated in the body and imaged with MRI techniques that have the remarkable ability to depict cyclic motions as small as 100 nanometers. The data are processed with inversion algorithms to provide cross-sectional images quantitatively depicting mechanical properties such as the complex shear modulus. In the last grant cycle, the hepatic MRE technology developed under this grant was successfully translated into wide clinical practice and is now used in patient care at hundreds of medical facilities around the world. Liver fibrosis is an important health problem with a rising prevalence in the US population. For many patients, MRE provides a safer, more comfortable, and less expensive alternative to liver biopsy for diagnosing this condition. Research has revealed many other promising applications, including noninvasive diagnosis of fibrosis and inflammation in other organs, detection and characterization of malignancies, providing new biomarkers to assess brain disease, and as a tool in basic research mechanobiology at the tissue and organ scales. As in the last grant cycle, the primary focus of the work will continue to be advanced technology development, to enable further basic and clinical research in this promising field, as well as to conduct pilot studies to identify clincal applications, and to develop practical protocols that will allow validation and eventual translatio to MRE to clinical practice. The research plan involves theoretical work, basic MRI pulse sequence development, device engineering, and protocol testing studies with normal and patient volunteers. Innovative approaches will be implemented and evaluated for generating mechanical waves in tissue, acquiring image data, and processing to generate quantitative images depicting previously inaccessible biomarkers. These technologies will be integrated into protocols that can be shared with other investigators and used to explore the practicality and value of promising applications.

 描述（由适用提供）：许多疾病过程在组织的机械特性上引起了深刻的变化，从而为开发技术以诊断目的测量这些特性的动力。此外，在过去的十年中，人们对组织基质机制对细胞功能的重要性的认识越来越大。细胞通过机械转移和细胞骨架重塑对其基质环境的动态和静态特性反应。现在知道机制在包括纤维化和癌症在内的许多疾病过程的起源和演变中具有重要作用。这项研究的目的是开发基于先进的MRI技术，以定量评估组织的机械性能并探索和翻译高影响力的临床和研究应用。 MR弹性图（MRE）基于这样的原理，即传播机械波反映其培养基的特性。剪切波是在体内产生的，并使用MRI技术成像，这些技术具有出色的能力来描述小至100纳米的环状运动。使用反转算法处理数据，以提供横截面图像定量描述机械性能，例如复杂的剪切模量。在上一个赠款周期中，该赠款下开发的肝脏MRE技术已成功地转化为广泛的临床实践，现在用于数百个肝纤维化的患者护理中，这是一个重要的健康问题，美国人群的患病率上升。对于许多患者，MRE提供了一种更安全，更舒适，更便宜的肝脏活检替代品，用于诊断这种情况。研究揭示了许多其他有前途的应用，包括其他器官中纤维化和炎症的非侵入性诊断，恶性肿瘤的检测和表征，提供了评估脑病的新生物标志物，以及作为组织和器官量表的基本研究机制的工具。与上一个赠款周期一样，这项工作的主要重点将继续是先进的技术开发，以实现该承诺领域的进一步基础和临床研究，并进行试点研究以识别金clinc骨应用，并制定实用方案，以允许验证和最终翻译以MRE到临床实践。研究计划涉及与正常和患者志愿者的理论工作，基本MRI脉冲序列开发，设备工程以及协议测试研究。将实施和评估创新的方法，以在组织中产生机械波，获取图像数据以及处理以生成描述先前无法访问的生物标志物的定量图像。这些技术将集成到可以与其他研究人员共享的协议中，并用于探索承诺应用程序的实践和价值。