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Enhanced MR for morphological characterization of ligaments, tendons and bone

增强 MR 用于韧带、肌腱和骨骼的形态表征

基本信息

批准号：
10246251
负责人：
Xiaojuan Li
金额：
$ 72.89万
依托单位：
STATE UNIVERSITY OF NEW YORK AT BUFFALO
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：
2020-08-05 至 2025-07-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10246251
关键词：
Acceleration Address Anatomy Awareness Base Sequence Biomedical Engineering Biomedical Research Body part Cartilage Diseases Clinical Collagen Computer software Connective Tissue Connective Tissue Diseases Development Diabetes Mellitus Diagnostic Disease Disease Management Evaluation Frequencies Hand Human Image Imaging Device Imaging Techniques Injury Interdisciplinary Study Involuntary Movements Joints Knee Ligaments Limb structure Lower Extremity Magnetic Resonance Imaging Magnetism Methods Minnesota Morphologic artifacts Morphology Motion Musculoskeletal Musculoskeletal Diseases Musculoskeletal System Natural graphite Osteoporosis Outcome Pennsylvania Performance Periosteum Physicians Predisposition Public Health Relaxation Reproducibility Research Resolution Rheumatism Safety Scanning Scientist Signal Transduction Solid Specimen Speed Structure Techniques Technology Tendon structure Testing Theoretical model Time Tissues United States Universities Upper Extremity Validation absorption base bone bone imaging calcification clinical Diagnosis clinically relevant cortical bone design design and construction diagnosis evaluation disability flexibility foot high resolution imaging human subject human tissue imaging modality imaging scientist improved in vivo ligament injury millisecond musculoskeletal imaging non-invasive imaging novel safety assessment solid state substantia spongiosa technology validation tool

项目摘要

PROJECT SUMMARY/ABSTRACT According to Council for Disability Awareness, diseases of the musculoskeletal system and connective tissue, such as the ligaments, tendons and bone are the #1 cause of disability in the United States. MR imaging has been increasingly becoming the diagnostic tool of choice for evaluation and management of these diseases and injuries due to its potential of providing information on not only anatomic structure but also function noninvasively. However, the capability of MRI in studying human ligaments, tendons and bone is limited by inadequate sensitivity and slow acquisitions of conventional MR technology. Semi-solid/solid tissues, including collagen-rich tissues such as calcified ligaments and tendons, as well as periosteum, cortical bone and trabecular bone, provide very little MR signal with traditional MRI due to their very short transverse (T2) relaxation time of a few milliseconds or less. In addition, during the long acquisition times, involuntary movements of human subjects introduce motion artifacts, posing a critical challenge in obtaining high- resolution images with diagnostic value. Several recently developed technologies have the potential to address these limitations. Ultrahigh field 7T MRI, parallel imaging, and compressed sensing have demonstrated unique advantages of high sensitivity and fast acquisitions in vivo. Studies on musculoskeletal imaging using ultra- short echo time (UTE) and zero echo time (ZTE) methods have shown unparalleled capability to image short T2 species normally invisible in MRI. However, the implementation of these technologies at ultrahigh fields is challenging due to design difficulties of the required high frequency multichannel coil arrays, as well as the problems associated with ultrahigh fields, e.g. increased susceptibility, B1 inhomogeneity, and increased SAR. In this study, through a synergistic bioengineering research partnership, we propose a comprehensive project for developing advanced hardware and imaging methods at 7T to enable morphological and functional characterization of human ligaments, tendons and bone. These developments aim to produce highly sensitive, isotropic ~100-150um resolution images of semi-solid connective tissues with clinically relevant contrast in 1 minute scan time. Hardware developments will include multichannel coil arrays for knee and extremities using quadrature and flexible array technology with metamaterial decoupling, as well as application of pyrolytic graphite materials for reducing susceptibility artifacts. Imaging acquisition developments will be based on improved UTE/ZTE sequences, and we propose new integrated techniques for improved semi-solid tissue contrast, motion correction, and acceleration using parallel imaging and compressed sensing. We will also validate the methods developed and assess the performance and safety/SAR. This research would provide sensitive imaging tools for morphological and functional characterization of ligaments, tendons and bone, which are highly demanded and essential for studying semi-solid connective tissues. We expect this research will have a long-term clinical impact in the management of musculoskeletal system diseases and injuries.

项目总结/文摘