Bioinformatics Software for MRI of Brain Development

用于大脑发育 MRI 的生物信息学软件

基本信息

  • 批准号:
    7888747
  • 负责人:
  • 金额:
    $ 30.35万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-09-25 至 2011-09-24
  • 项目状态:
    已结题

项目摘要

This research proposal is a revised R01 application in response to the Program Announcement "Continued Development and Maintenance of Bioinformatics and Computational Biology Software" for five years of funding to continue development and maintenance of an existing software package for analysis of magnetic resonance images of the brain of premature and fullterm newborn infants. A significant need exists for continued development of our existing package of MRI analysis tools for this age range as no alternative software packages are currently available or suitable for this age range. The research proposed here involves the enhancement of an existing software package for quantitative analysis of MRI of the developing brain by the implementation, as open-source software, of existing validated and proven algorithms, and the creation of a user-friendly graphical user interface to enable end users to easily apply these methods. The objective is to enhance the existing softwareto create a platform for scientific discovery and for clinical research.This is a challenging task because the developing newborn brain poses unique challenges not apparent in older subjects, including significant age-dependent contrast properties of brain tissue, rapid microstructural and macrostructuralchanges, and spatial resolution of features of interest close to the limit of imaging resolution. Addressing these challenges satisfactorily requires the unique expertise and methods and techniques we have developed over the past ten years and which are currently not available elsewhere. Impact: The research team has significant nationally and internationally unique collaborative experience in the acquisition of images of the newborn infant brain, pioneering expertise in the development and application of post-acquisition image processing to this population, and an extensive track record in the interpretation of the nature of alterations of cerebral structure in the newborn infant brain. This softwarecurrently has a significant user community who will immediately benefit from the enhancements. Furthermore, creating a supported open source software package will enable the broader community of scientists and clinicians dealing with pediatric brain development, who are currently not served by any existing software, to adopt and utilize the package, and will have a significant long-term impact in the domain of pediatric neuroimaging studies.
本研究计划是根据项目公告“继续”修订的R01申请

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Brain development of the preterm neonate after neonatal hydrocortisone treatment for chronic lung disease.
  • DOI:
    10.1203/pdr.0b013e3181b3aec5
  • 发表时间:
    2009-11
  • 期刊:
  • 影响因子:
    3.6
  • 作者:
    Benders MJ;Groenendaal F;van Bel F;Ha Vinh R;Dubois J;Lazeyras F;Warfield SK;Hüppi PS;de Vries LS
  • 通讯作者:
    de Vries LS
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

SIMON K WARFIELD其他文献

SIMON K WARFIELD的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('SIMON K WARFIELD', 18)}}的其他基金

Motion Compensated fMRI for Pre-Surgical Planning in Epilepsy
用于癫痫手术前规划的运动补偿功能磁共振成像
  • 批准号:
    10659634
  • 财政年份:
    2023
  • 资助金额:
    $ 30.35万
  • 项目类别:
Machine learning algorithms to analyze large medical image datasets
用于分析大型医学图像数据集的机器学习算法
  • 批准号:
    10434022
  • 财政年份:
    2021
  • 资助金额:
    $ 30.35万
  • 项目类别:
Machine learning algorithms to analyze large medical image datasets
用于分析大型医学图像数据集的机器学习算法
  • 批准号:
    10182522
  • 财政年份:
    2021
  • 资助金额:
    $ 30.35万
  • 项目类别:
Machine learning algorithms to analyze large medical image datasets
用于分析大型医学图像数据集的机器学习算法
  • 批准号:
    10584569
  • 财政年份:
    2021
  • 资助金额:
    $ 30.35万
  • 项目类别:
Improved Motion Robust MRI of Children
改进儿童运动鲁棒性 MRI
  • 批准号:
    10605154
  • 财政年份:
    2015
  • 资助金额:
    $ 30.35万
  • 项目类别:
Novel MRI Imaging Tools and Software for Assessing Pediatric Crohn's Disease
用于评估儿童克罗恩病的新型 MRI 成像工具和软件
  • 批准号:
    8997501
  • 财政年份:
    2014
  • 资助金额:
    $ 30.35万
  • 项目类别:
Novel MRI Imaging Tools and Software for Assessing Pediatric Crohn's Disease
用于评估儿童克罗恩病的新型 MRI 成像工具和软件
  • 批准号:
    9212806
  • 财政年份:
    2014
  • 资助金额:
    $ 30.35万
  • 项目类别:
MRI Biomarkers of Patients with Tuberous Sclerosis Complex and Autism
结节性硬化症和自闭症患者的 MRI 生物标志物
  • 批准号:
    9315944
  • 财政年份:
    2013
  • 资助金额:
    $ 30.35万
  • 项目类别:
MRI Biomarkers of Patients with Tuberous Sclerosis Complex and Autism
结节性硬化症和自闭症患者的 MRI 生物标志物
  • 批准号:
    9112028
  • 财政年份:
    2013
  • 资助金额:
    $ 30.35万
  • 项目类别:
MRI Biomarkers of Patients with Tuberous Sclerosis Complex and Autism
结节性硬化症和自闭症患者的 MRI 生物标志物
  • 批准号:
    8896887
  • 财政年份:
    2013
  • 资助金额:
    $ 30.35万
  • 项目类别:

相似海外基金

Framewise Integrated Real-Time MRI Monitoring (FIRMM) software commercialization readiness for clinical care
逐帧集成实时 MRI 监测 (FIRMM) 软件为临床护理做好商业化准备
  • 批准号:
    10697965
  • 财政年份:
    2023
  • 资助金额:
    $ 30.35万
  • 项目类别:
Hyperpolarized 129Xe MRI: Development of hardware, software and its PET-based validation.
超极化 129Xe MRI:开发硬件、软件及其基于 PET 的验证。
  • 批准号:
    RGPIN-2021-03982
  • 财政年份:
    2022
  • 资助金额:
    $ 30.35万
  • 项目类别:
    Discovery Grants Program - Individual
Hyperpolarized 129Xe MRI: Development of hardware, software and its PET-based validation.
超极化 129Xe MRI:开发硬件、软件及其基于 PET 的验证。
  • 批准号:
    DGECR-2021-00438
  • 财政年份:
    2021
  • 资助金额:
    $ 30.35万
  • 项目类别:
    Discovery Launch Supplement
Hyperpolarized 129Xe MRI: Development of hardware, software and its PET-based validation.
超极化 129Xe MRI:开发硬件、软件及其基于 PET 的验证。
  • 批准号:
    RGPIN-2021-03982
  • 财政年份:
    2021
  • 资助金额:
    $ 30.35万
  • 项目类别:
    Discovery Grants Program - Individual
Robust workflow software for MRI tracking of glymphatic-lymphatic coupling
用于 MRI 跟踪类淋巴耦合的强大工作流程软件
  • 批准号:
    10609195
  • 财政年份:
    2021
  • 资助金额:
    $ 30.35万
  • 项目类别:
MRI: Development of High-Confidence Medical Cyber-Physical System Research Instrument with Benchmark Security Software
MRI:使用基准安全软件开发高可信度医疗信息物理系统研究仪器
  • 批准号:
    2117785
  • 财政年份:
    2021
  • 资助金额:
    $ 30.35万
  • 项目类别:
    Standard Grant
Feasibility study of lung nodule screening using pulmonary MRI and development of computer-assisted detection software
肺部MRI筛查肺结节的可行性研究及计算机辅助检测软件的开发
  • 批准号:
    20K08045
  • 财政年份:
    2020
  • 资助金额:
    $ 30.35万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
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:
    10264547
  • 财政年份:
    2020
  • 资助金额:
    $ 30.35万
  • 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:
    $ 30.35万
  • 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:
    $ 30.35万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了