Morphological and Functional Musko-Skeletal Imaging

形态学和功能性 Musko 骨骼成像

基本信息

项目摘要

DESCRIPTION (provided by applicant): In response to PAR-04-023, participants from the University of California San Francisco (UCSF), University of California Berkeley (UCB), Massachusetts general Hospital (MGH) and industry (GeneralElectric, GE) propose a competing renewal of a Bioengineering Research Partnership (BRP) focused on the systematic study of the morphology and function of the musculoskeletal system in disease and health. We hypothesize that high field (3 Testa and 7 Tesla), high resolution, fast MR combined with quantitative tissue assessment, would significantly impact the clinical assessment of musculo-skeletal degeneration and reparative processes, spanning a range of scales, from the tissue to the whole organ. The long- term vision of this partnership is to understand the link between morphology, function and clinical symptoms, with a specific focus on osteoporosis, osteo-arthritis, degenerative disc disease. The specific aims are: Aim I: To develop multi-modality imaging tools for in-vitro tissue characterization, including micro-computed tomography, Fourier transform Infra-red imaging for use in characterizing bone, cartilage, intervertebral disc. Aim II: To develop coils, pulse sequences and reconstruction algorithms for optimized parallel imaging at 3 Tesla for high resolution imaging of bone, cartilage, and intervertebral disc. Aim III: To develop quantitative MR imaging of trabecular bone, cartilage and intervertebral disc at 7 Tesla. Aim IV: To develop optimized MR imaging techniques at 3 Tesla and 7 Tesla in rodent models of disc and cartilage degeneration for tracking of iron oxide labeled mesenchymal stem cells in cartilage and disc repair. Dr. Majumdar from UCSF will serve as the PI of the BRP, and will be assisted by a Scientific and Clinical Advisory board. She will focus on the technical developments for musculo-skeletal imaging at high field with Dr. Kelley and Han from GE, and Link from UCSF (for clinical relevance). Dr. Lawrence Wald will serve as the partner from MGH. Dr. Vigneron from UCSF wj 11 serve as the project leader for coil development and testing at UCSF. Dr. Nelson will work closely with the PI in image analysis and processing aspects of the study. The project will involve clinical faculty from Departments of Radiology, Orthopedic Surgery, Bioengineering students and post-doctoral researchers, all focused on advancing clinical evaluation of musculo-skeletal diseases such as osteoporosis, osteo-arthritis and lower back pain.
描述(申请人提供):作为对PAR-04-023的回应,来自加州弗朗西斯科大学(UCSF)、加州伯克利大学(UCB)、马萨诸塞州综合医院(MGH)和工业界的参与者(通用电气,通用电气(GE)提出了一个生物工程研究合作伙伴关系(BRP)的竞争性更新专注于系统研究疾病和健康中肌肉骨骼系统的形态和功能。我们假设,高场(3特斯拉和7特斯拉)、高分辨率、快速MR结合定量组织评估,将显著影响肌肉骨骼退行性变和修复过程的临床评估,涵盖从组织到整个器官的一系列尺度。这种伙伴关系的长期愿景是了解形态,功能和临床症状之间的联系,特别关注骨质疏松症,骨关节炎,退行性椎间盘疾病。具体目标是:目标一:开发用于体外组织表征的多模态成像工具,包括用于表征骨、软骨、椎间盘的微计算机断层扫描、傅立叶变换红光成像。目标二:开发线圈、脉冲序列和重建算法,以优化3特斯拉下的并行成像,实现骨、软骨和椎间盘的高分辨率成像。目的III:建立7 T磁共振定量成像技术,对松质骨、软骨和椎间盘进行定量成像。目标四:在椎间盘和软骨退变的啮齿动物模型中开发3特斯拉和7特斯拉的优化MR成像技术,用于追踪软骨和椎间盘修复中氧化铁标记的间充质干细胞。来自UCSF的Majumdar博士将担任BRP的PI,并将由科学和临床咨询委员会协助。她将与GE的Kelley博士和Han博士以及UCSF的Link(临床相关性)一起专注于高场肌肉骨骼成像的技术发展。Lawrence Wald博士将担任MGH的合伙人。来自UCSF wj 11的Vigneron博士担任UCSF线圈开发和测试的项目负责人。纳尔逊博士将在研究的图像分析和处理方面与PI密切合作。该项目将涉及来自放射科、骨科、生物工程系的临床教师和博士后研究人员,他们都专注于推进骨质疏松症、骨关节炎和下背痛等肌肉骨骼疾病的临床评估。

项目成果

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Sharmila Majumdar其他文献

Sharmila Majumdar的其他文献

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{{ truncateString('Sharmila Majumdar', 18)}}的其他基金

Simultaneous Imaging of Tissue Biochemistry and Metabolism associated with Biomechanics in Patella Femoral Joint Osteoarthritis
髌股关节骨关节炎与生物力学相关的组织生物化学和代谢的同步成像
  • 批准号:
    10592370
  • 财政年份:
    2022
  • 资助金额:
    $ 95.9万
  • 项目类别:
Simultaneous Imaging of Tissue Biochemistry and Metabolism associated with Biomechanics in Patella Femoral Joint Osteoarthritis
髌股关节骨关节炎与生物力学相关的组织生物化学和代谢的同步成像
  • 批准号:
    10792426
  • 财政年份:
    2022
  • 资助金额:
    $ 95.9万
  • 项目类别:
Simultaneous Imaging of Tissue Biochemistry and Metabolism associated with Biomechanics in Patella Femoral Joint Osteoarthritis
髌股关节骨关节炎与生物力学相关的组织生物化学和代谢的同步成像
  • 批准号:
    10443016
  • 财政年份:
    2022
  • 资助金额:
    $ 95.9万
  • 项目类别:
Ultra-Fast Knee MRI with Deep Learning
具有深度学习功能的超快速膝关节 MRI
  • 批准号:
    10596548
  • 财政年份:
    2021
  • 资助金额:
    $ 95.9万
  • 项目类别:
Ultra-Fast Knee MRI with Deep Learning
具有深度学习功能的超快速膝关节 MRI
  • 批准号:
    10376339
  • 财政年份:
    2021
  • 资助金额:
    $ 95.9万
  • 项目类别:
Technology Research Site for Advanced, Faster Quantitative Imaging for BACPAC
BACPAC 先进、更快的定量成像技术研究网站
  • 批准号:
    10683487
  • 财政年份:
    2019
  • 资助金额:
    $ 95.9万
  • 项目类别:
Technology Research Site for Advanced, Faster Quantitative Imaging for BACPAC
BACPAC 先进、更快的定量成像技术研究网站
  • 批准号:
    10214771
  • 财政年份:
    2019
  • 资助金额:
    $ 95.9万
  • 项目类别:
Technology Research Site for Advanced, Faster Quantitative Imaging for BACPAC
BACPAC 先进、更快的定量成像技术研究网站
  • 批准号:
    10304082
  • 财政年份:
    2019
  • 资助金额:
    $ 95.9万
  • 项目类别:
Technology Research Site for Advanced, Faster Quantitative Imaging for BACPAC
BACPAC 先进、更快的定量成像技术研究网站
  • 批准号:
    9897929
  • 财政年份:
    2019
  • 资助金额:
    $ 95.9万
  • 项目类别:
Technology Research Site for Advanced, Faster Quantitative Imaging for BACPAC
BACPAC 先进、更快的定量成像技术研究网站
  • 批准号:
    10683143
  • 财政年份:
    2019
  • 资助金额:
    $ 95.9万
  • 项目类别:

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