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Rapid Quantitative Assessment of Knee Joint with Compressed Sensing

利用压缩感知对膝关节进行快速定量评估

基本信息

批准号：
10455507
负责人：
Ravinder Regatte
金额：
$ 62.11万
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：
2020
资助国家：
美国
起止时间：
2020-08-03 至 2025-07-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10455507
关键词：
3-Dimensional Affect Biochemical Biological Models Bovine Cartilage Cartilage Clinical Clinical Protocols Collagen Collagen Fiber Data Degenerative polyarthritis Development Diagnostic Disease Early Diagnosis Evaluation Extracellular Matrix Future Goals Healthcare Systems Histology Human Hydration status Image Imaging Techniques Joints Knee Osteoarthritis Knee joint Lead Magnetic Resonance Imaging Meniscus structure of joint Methods Modeling Morphology Musculoskeletal Outcome Pain Pathologic Processes Patients Performance Persons Population Proteoglycan Protocols documentation Relaxation Research Personnel Resolution Sampling Scanning Slice Specificity Structure T2 weighted imaging Techniques Therapeutic Agents Thick Time Tissue Engineering Tissues Translating Treatment Protocols United States Validation Water articular cartilage base cartilage degradation cohort data space efficacy evaluation healing imaging biomarker improved in vivo macromolecule morphometry non-invasive imaging novel personalized medicine premature prevent reconstruction repaired

项目摘要

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. T1ρ and T2 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 high spatial resolution 3D-isotropic- MRI sequence (700µmX700µmX700µm) for simultaneous assessment of morphometry and biexponential 3D- T1ρ (T2) mapping sequences (each protocol under 10 minutes) for improved quantitative assessment of morphological (cartilage thickness and volume) and biochemical characterization of cartilage on a standard clinical 3T scanner employing combinations of compressed sensing (CS) and parallel imaging (PI). The proposed accelerated, isotropic, high spatial resolution, multicomponent 3D-T1ρ (T2) mapping techniques can be easily incorporated into routine clinical protocols for biochemical assessment of cartilage in addition to standard morphological evaluation and could serve as future imaging biomarkers for disease modifying therapies for OA. The outcome of this proposed study will significantly impact our ability for personalized treatment regimens and possibly prevent the development of premature OA.

项目总结