A magnetic particle imager (MPI) for functional brain imaging in humans

用于人类脑功能成像的磁粒子成像仪 (MPI)

基本信息

  • 批准号:
    9756374
  • 负责人:
  • 金额:
    $ 140.92万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-09-26 至 2023-02-28
  • 项目状态:
    已结题

项目摘要

In this U01 grant we propose a 5 year engineering development effort to advance Magnetic Particle Imaging (MPI) to replace MRI as the next-generation functional brain imaging tool for human neuroscience. MPI is a young but extremely promising technology that uses the non-linear magnetic response of ironoxide nanoparticles to localize their presence in the body. MPI directly detects the nanoparticle's magnetization rather than using secondary effects on the Magnetic Resonance relaxation times. Thus, while MPI and MRI share many technologies, the MPI method does not use the MR phenomena in any way. Our plan is to detect the activation-induced and resting-state changes in the iron-oxide concentration in the cerebral capillary network by monitoring the local iron oxide concentration (and thus local Cerebral Blood Volume, CBV). This CBV-contrast source is well- proven in animal and human fMRI studies which detect CBV changes by MRI using the same iron- oxide agents, but indirectly. But, by developing MPI as the detection modality, we show that there is a potential 10-fold increase in the contrast-to-noise ratio (CNR) of human neuronal activation. In the planning grant stage, we analyzed multiple potential MPI scanner designs for humans and settled on a Field-Free-Line geometry. We developed the simulation tools to model the performance of a human sized instrument. Additionally, we validated our modeling by building and testing a small, rodent-scale MPI detector in our lab at MGH. Using this device, we showed the first ever demonstration of functional imaging with MPI using a rodent hypercapnia model. In this U01 phase we seek the resources to construct and validate the human scale, rotating FFL-style MPI device analyzed in the planning grant. After construction, we will validate its performance in phantom studies, and also in an awake-behaving macaque model that we have previously used for fMRI studies. Finally, we will validate the performance of the device in limited human fMPI studies. By developing a new and more sensitive detection methodology for functional human imaging, we hope to add a powerful new non-invasive methods to the tools available to neuroscientists studying the human brain in health and disease.
在这项U01拨款中,我们提出了一项为期5年的工程开发工作,以推进磁性

项目成果

期刊论文数量(0)
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专利数量(0)

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Lawrence L Wald其他文献

Lawrence L Wald的其他文献

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{{ truncateString('Lawrence L Wald', 18)}}的其他基金

Technology for MR brain monitoring
MR脑部监测技术
  • 批准号:
    10861524
  • 财政年份:
    2023
  • 资助金额:
    $ 140.92万
  • 项目类别:
Addressing biological barriers in in vivo human brain MRI acquisitions
解决人脑 MRI 采集中的生物障碍
  • 批准号:
    10224852
  • 财政年份:
    2020
  • 资助金额:
    $ 140.92万
  • 项目类别:
Addressing biological barriers in in vivo human brain MRI acquisitions
解决人脑 MRI 采集中的生物障碍
  • 批准号:
    10038181
  • 财政年份:
    2020
  • 资助金额:
    $ 140.92万
  • 项目类别:
A magnetic particle imager (MPI) for functional brain imaging in humans
用于人类脑功能成像的磁粒子成像仪 (MPI)
  • 批准号:
    10377310
  • 财政年份:
    2017
  • 资助金额:
    $ 140.92万
  • 项目类别:
A magnetic particle imager (MPI) for functional brain imaging in humans
用于人类脑功能成像的磁粒子成像仪 (MPI)
  • 批准号:
    9991850
  • 财政年份:
    2017
  • 资助金额:
    $ 140.92万
  • 项目类别:
A magnetic particle imager (MPI) for functional brain imaging in humans
用于人类脑功能成像的磁粒子成像仪 (MPI)
  • 批准号:
    9418281
  • 财政年份:
    2017
  • 资助金额:
    $ 140.92万
  • 项目类别:
System Upgrade for Siemens 7T Human MRI System
西门子7T人体核磁共振系统的系统升级
  • 批准号:
    9274680
  • 财政年份:
    2017
  • 资助金额:
    $ 140.92万
  • 项目类别:
Technology for Portable MRI
便携式 MRI 技术
  • 批准号:
    8767453
  • 财政年份:
    2014
  • 资助金额:
    $ 140.92万
  • 项目类别:
Technology for Portable MRI
便携式 MRI 技术
  • 批准号:
    9132788
  • 财政年份:
    2014
  • 资助金额:
    $ 140.92万
  • 项目类别:
Technology for Portable MRI
便携式 MRI 技术
  • 批准号:
    9346073
  • 财政年份:
    2014
  • 资助金额:
    $ 140.92万
  • 项目类别:

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