课题基金 / 基金详情

项目摘要

项目成果

Damien A Fair的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
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.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.dcn.2022.101116
发表时间: 2022-06
期刊: DEVELOPMENTAL COGNITIVE NEUROSCIENCE
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.
DOI: 10.1016/j.neuroimage.2023.120195
发表时间: 2023-08-15
期刊: NEUROIMAGE
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
Precision mapping of individualized executive networks in youth
  • 批准号:
    10178201
  • 项目类别:
  • 资助金额:
    $81.85万
  • 财政年份:
    2021
  • 负责人:
    Damien A Fair
  • 依托单位:
Precision mapping of individualized executive networks in youth
  • 批准号:
    10611464
  • 项目类别:
  • 资助金额:
    $69.65万
  • 财政年份:
    2021
  • 负责人:
    Damien A Fair
  • 依托单位:
Healthy Brain and Child Development National Consortium Data Coordinating Center
  • 批准号:
    10753356
  • 项目类别:
  • 资助金额:
    $78.81万
  • 财政年份:
    2021
  • 负责人:
    Damien A Fair
  • 依托单位:
Precision mapping of individualized executive networks in youth
  • 批准号:
    10442377
  • 项目类别:
  • 资助金额:
    $74.33万
  • 财政年份:
    2021
  • 负责人:
    Damien A Fair
  • 依托单位:
海外基金