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: 10115230
• 负责人: Ravinder Regatte
• 金额: $ 62.07万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-02-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10115230
• 关键词: 3-Dimensional; Abdomen; Affect; Agar; Base Sequence; Biochemical; Brain; Cardiac; Cartilage; Cattle; Clinical; Clinical Research Protocols; Collagen; Collagen Fiber; Contrast Media; Data; Degenerative polyarthritis; Development; Diagnosis; Dictionary; Disease; Disease Progression; Early Diagnosis; Evolution; Extracellular Matrix; Fingerprint; Future; Gel; Goals; Healthcare Systems; Hip region structure; Image; Individual; KITLG gene; Knee Osteoarthritis; Knee joint; Lead; Magnetic Resonance; Magnetic Resonance Imaging; Maps; Measures; Modeling; Morphology; Noise; Pathologic Processes; Pathology; Patient Outcomes Assessments; Patients; Pattern; Pattern Recognition; Physiologic pulse; Population; Preparation; Property; Prostate; Proteoglycan; Protons; Quantitative Evaluations; Radial; Relaxation; Reproducibility; Sampling; Scanning; Signal Transduction; Structure; System; Techniques; Time; Tissues; Training; Translating; United States; Validation; Variant; articular cartilage; base; cartilage degradation; clinical application; data acquisition; density; follow-up; imaging biomarker; improved; in vivo; interest; joint destruction; macromolecule; non-invasive imaging; novel; simulation; therapeutic evaluation

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