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

基本信息

  • 批准号:
    10659634
  • 负责人:
  • 金额:
    $ 67.11万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-05-02 至 2028-04-30
  • 项目状态:
    未结题

项目摘要

Project Summary Epilepsy affects about 1% of people, and one-third of cases do not respond effectively to drug treatment. Patients with drug-resistant epilepsy are candidates for surgical resection of the epileptogenic zone, a potentially curative treatment. Clinical functional MRI plays a critical role in planning for neurosurgery in epilepsy. FMRI provides data to localize eloquent cortex, to assess the risks and benefits of a planned surgical resection, and to allow a resection to be tailored to the individual patient. The primary challenge to acquiring high quality functional MRI is motion of the participant. Motion reduces the temporal signal-to-noise ratio (tSNR) by misaligning the BOLD signal, motion creates spin history artifact, and motion can move parts of the brain out of the imaging field of view. These artifacts in turn lead to both false positive and false negative detections of functional activity, which compromise the fidelity of functional localization. This is usually detected and corrected to the extent possible, by discarding motion corrupted data, and using only motion-free segments. Since sufficient data must be acquired for such an analysis, fMRI acquisitions are designed to acquire redundant data to allow for loss to motion. At our institution, and others, this additional imaging time alone has been estimated to more than double the cost of fMRI imaging studies. The loss of fidelity and increased cost due to motion compromises the utility of the fMRI in planning for surgery. This is especially critical in patients who have difficulty following instructions, such as elderly, ill, or pediatric subjects. There is an unmet need for improved motion monitoring, prospective and retrospective correction for motion for fMRI. To improve the utility and decrease the cost of fMRI, we propose to develop, apply and evaluate novel technology to enable real-time self-navigated motion monitoring and improved correction for fMRI, through the following four specific aims: Aim 1: Develop and evaluate reduction of motion enabled by real-time slice-by-slice motion monitoring during fMRI; Aim 2: Develop and evaluate the reduction of motion artifact from slice by slice retrospective motion correction; Aim 3: Develop and evaluate the reduction of motion artifact from real-time slice by slice prospective motion correction (PMC); Aim 4: Assess the utility of motion monitoring, retrospective motion correction and prospective motion correction for improving functional MRI for planning for epilepsy surgery.
项目摘要 癫痫影响约1%的人,三分之一的病例对药物治疗无效。 耐药性癫痫患者是手术切除致痫区的候选者, 潜在的治愈性治疗。临床功能MRI在神经外科手术计划中起着关键作用, 癫痫功能磁共振成像提供的数据定位功能皮层,以评估风险和利益的计划手术 切除,并允许切除量身定制的个别患者。收购的主要挑战 高质量的功能MRI是参与者的运动。运动降低了时间信噪比 (tSNR)通过使BOLD信号不对准,运动产生自旋历史伪影,并且运动可以移动 大脑在成像视野之外这些伪影反过来又会导致假阳性和假阴性 功能活动的检测,这损害了功能定位的保真度。这通常被检测到 并通过丢弃运动损坏的数据并仅使用无运动的 片段由于这种分析必须获得足够的数据,因此fMRI采集的目的是 获取冗余数据以允许运动损失。在我们的机构和其他机构, 据估计,仅这一项就将使功能磁共振成像研究的成本增加一倍以上。失去忠诚, 由于运动而增加的成本损害了fMRI在手术计划中的效用。这是特别 对于难以遵循指示的患者(如老年人、病人或儿科受试者)至关重要。有一个 对改进的运动监测、用于fMRI的运动的前瞻性和回顾性校正的未满足需求。到 为了提高功能磁共振成像的实用性和降低成本,我们建议开发、应用和评估新技术 为了实现实时自我导航运动监测和改善功能磁共振成像的校正,通过以下措施 四个具体目标:目标1:开发和评价通过实时逐层运动实现的运动减少 目的2:开发和评估逐层减少运动伪影的方法 回顾性运动校正;目标3:开发和评估实时运动伪影的减少 逐层前瞻性运动校正(PMC);目的4:评估运动监测的效用,回顾性 运动校正和前瞻性运动校正用于改善癫痫规划的功能性MRI 手术

项目成果

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SIMON K WARFIELD其他文献

SIMON K WARFIELD的其他文献

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

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:
    $ 67.11万
  • 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:
    $ 67.11万
  • 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:
    $ 67.11万
  • 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:
    $ 67.11万
  • 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:
    $ 67.11万
  • 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:
    $ 67.11万
  • 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:
    $ 67.11万
  • 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:
    $ 67.11万
  • 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:
    $ 67.11万
  • 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:
    8705058
  • 财政年份:
    2013
  • 资助金额:
    $ 67.11万
  • 项目类别:

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