Motion-robust brain MRI for infants

适用于婴儿的运动鲁棒性脑 MRI

基本信息

  • 批准号:
    10684950
  • 负责人:
  • 金额:
    $ 177.54万
  • 依托单位:
  • 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:
    2020-07-03 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

Project Abstract/Summary The objective of this SBIR/STTR Fast Track submission is to provide a software solution to reduce the effects of head motion during brain MRIs of infants. Because structural MRI scanning produces high-resolution images and does not expose patients to radiation, it has become an immensely valuable diagnostic tool, particularly for imaging the brain in infant samples. Approximately $20 billion worth of brain MRIs are performed each year in the US, including 500,000 infant scans. The greatest problem for MRI is its susceptibility to patient motion. About 20% of clinical brain MRIs are distorted by motion – wasting ~$4 billion/year. Currently, MRI motion is dealt with by repeating scans or anesthesia. Both approaches diminish throughput, while increasing costs, patient burden, and health risks. In infants, anesthesia causes brain injury, leading to an FDA blackbox warning against it for children under 3 years old. Thus, the standard of brain MRI care in infants is swaddling them and hoping for the best. There are no infant-compatible MRI motion monitoring systems, despite the great need. Camera-based systems encounter critical limitations when used with infants – only FIRMM's software-only approach can work easily and reliably. Two obstacles must be overcome with support from this SBIR/STTR award to develop FIRMM-infant for research and clinical use. 1) Infant-compatible versions of motion-sensing/correcting sequences must be generated (T1w, T2w). 2) FIRMM-infant usability and its ability to improve MRI quality must be demonstrated. The proposed research focuses on delivering proof-of-concept for FIRMM-infant (Phase I) and building and validating a clinical-ready version of FIRMM-infant across vendors (Phase II). The FIRMM-infant device provides scan operators and physicians with real time motion information, and in combination with vNav ready motion sensing sequences will MR scans safer, faster, and less expensive for infant imaging.
项目摘要/总结 本次 SBIR/STTR 快速通道提交的目的是提供一个软件解决方案来减少影响 婴儿脑部 MRI 期间的头部运动。因为结构 MRI 扫描可产生高分辨率图像 并且不会使患者受到辐射,它已成为一种非常有价值的诊断工具,特别是对于 对婴儿样本中的大脑进行成像。每年进行的脑部 MRI 检查价值约 200 亿美元 美国,包括 500,000 名婴儿扫描。 MRI 的最大问题是它对患者运动的敏感性。 大约 20% 的临床脑部 MRI 会因运动而扭曲——每年浪费约 40 亿美元。目前,MRI 运动 通过重复扫描或麻醉来处理。这两种方法都会降低吞吐量,同时增加成本, 患者负担和健康风险。在婴儿中,麻醉会导致脑损伤,导致 FDA 黑匣子 警告 3 岁以下儿童不要使用。因此,婴儿脑部 MRI 护理的标准是襁褓 他们并希望得到最好的结果。 尽管需求很大,但目前还没有适合婴儿的 MRI 运动监测系统。基于摄像头 系统在与婴儿一起使用时遇到严重限制 - 只有 FIRMM 的纯软件方法才有效 轻松可靠。必须在 SBIR/STTR 奖项的支持下克服两个障碍才能开发 FIRMM-用于研究和临床用途的婴儿。 1) 婴儿兼容版本的运动感应/校正 必须生成序列(T1w、T2w)。 2)FIRMM-婴儿可用性及其提高MRI质量的能力 必须被证明。 拟议的研究重点是提供 FIRMM 婴儿(第一阶段)的概念验证以及构建和 跨供应商验证 FIRMM-infant 的临床就绪版本(第二阶段)。 FIRMM-婴儿设备 为扫描操作员和医生提供实时运动信息,并与 vNav 结合使用 运动传感序列将使 MR 扫描更安全、更快,并且对于婴儿成像来说更便宜。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Real-time motion monitoring improves functional MRI data quality in infants.
  • DOI:
    10.1016/j.dcn.2022.101116
  • 发表时间:
    2022-06
  • 期刊:
  • 影响因子:
    4.7
  • 作者:
    D'Andrea, Carolina Badke;Kenley, Jeanette K.;Montez, David F.;Mirro, Amy E.;Miller, Ryland L.;Earl, Eric A.;Koller, Jonathan M.;Sung, Sooyeon;Yacoub, Essa;Elison, Jed T.;Fair, Damien A.;Dosenbach, Nico U. F.;Rogers, Cynthia E.;Smyser, Christopher D.;Greene, Deanna J.
  • 通讯作者:
    Greene, Deanna J.
Brain hubs defined in the group do not overlap with regions of high inter-individual variability.
  • DOI:
    10.1016/j.neuroimage.2023.120195
  • 发表时间:
    2023-08-15
  • 期刊:
  • 影响因子:
    5.7
  • 作者:
    Smith, Derek M.;Kraus, Brian T.;Dworetsky, Ally;Gordon, Evan M.;Gratton, Caterina
  • 通讯作者:
    Gratton, Caterina
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Damien A Fair其他文献

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{{ truncateString('Damien A Fair', 18)}}的其他基金

Precision mapping of individualized executive networks in youth
精确绘制青少年个性化执行网络
  • 批准号:
    10178201
  • 财政年份:
    2021
  • 资助金额:
    $ 177.54万
  • 项目类别:
Precision mapping of individualized executive networks in youth
精确绘制青少年个性化执行网络
  • 批准号:
    10611464
  • 财政年份:
    2021
  • 资助金额:
    $ 177.54万
  • 项目类别:
Healthy Brain and Child Development National Consortium Data Coordinating Center
健康大脑和儿童发展国家联盟数据协调中心
  • 批准号:
    10753356
  • 财政年份:
    2021
  • 资助金额:
    $ 177.54万
  • 项目类别:
Precision mapping of individualized executive networks in youth
精确绘制青少年个性化执行网络
  • 批准号:
    10442377
  • 财政年份:
    2021
  • 资助金额:
    $ 177.54万
  • 项目类别:
Solving the MRI motion problem with Framewise Integrated Real-Time MRI Monitoring (FIRMM) software
使用逐帧集成实时 MRI 监测 (FIRMM) 软件解决 MRI 运动问题
  • 批准号:
    10455586
  • 财政年份:
    2020
  • 资助金额:
    $ 177.54万
  • 项目类别:
Solving the MRI motion problem with Framewise Integrated Real-Time MRI Monitoring (FIRMM) software
使用逐帧集成实时 MRI 监测 (FIRMM) 软件解决 MRI 运动问题
  • 批准号:
    10616762
  • 财政年份:
    2020
  • 资助金额:
    $ 177.54万
  • 项目类别:
1/4 Investigation of opioid exposure and neurodevelopment (iOPEN)
1/4 阿片类药物暴露和神经发育的调查 (iOPEN)
  • 批准号:
    9898100
  • 财政年份:
    2019
  • 资助金额:
    $ 177.54万
  • 项目类别:
1/4 Investigation of opioid exposure and neurodevelopment (iOPEN)
1/4 阿片类药物暴露和神经发育的调查 (iOPEN)
  • 批准号:
    10017371
  • 财政年份:
    2019
  • 资助金额:
    $ 177.54万
  • 项目类别:
1/4 Investigation of opioid exposure and neurodevelopment (iOPEN)
1/4 阿片类药物暴露和神经发育的调查 (iOPEN)
  • 批准号:
    10329053
  • 财政年份:
    2019
  • 资助金额:
    $ 177.54万
  • 项目类别:
Brain trajectories in ADHD
ADHD 的大脑轨迹
  • 批准号:
    10215270
  • 财政年份:
    2017
  • 资助金额:
    $ 177.54万
  • 项目类别:

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