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 癫痫会影响约1%的人,三分之一的病例对药物治疗没有有效反应。 耐药性癫痫的患者是癫痫病区域手术切除的候选者 潜在的治疗方法。临床功能MRI在计划神经外科手术中起关键作用 癫痫。 fMRI提供的数据可以定位雄辩的皮层,以评估计划的手术的风险和好处 切除,并允许对个体患者进行切除。获取的主要挑战 高质量的功能性MRI是参与者的运动。运动降低了临时信噪比 (TSNR)通过错过大胆的信号,运动创建旋转历史伪像,运动可以移动部分 大脑远离成像领域。这些文物反过 功能活性的检测,这会损害功能定位的保真度。通常检测到 并通过丢弃运动损坏的数据并仅使用无运动来纠正可能的范围 细分市场。由于必须获得这种分析的资金数据,因此fMRI采集被设计为 获取冗余数据以允许运动损失。在我们的机构和其他机构,这个额外的成像时间 仅估计仅是fMRI成像研究成本的两倍以上。失去忠诚和 由于运动而增加的成本损害了fMRI在计划手术计划中的效用。尤其是 对于遵循指示困难的患者,例如老年人,病或小儿受试者至关重要。有一个 未满足fMRI运动的运动监测,前瞻性和回顾性校正的需求。到 提高效用并降低fMRI的成本,我们建议开发,应用和评估新技术 通过以下 四个具体目标:目标1:通过实时切片运动启用和评估减少运动减少 fMRI期间的监视; AIM 2:开发和评估Slice从切片中减少运动伪像 回顾性运动校正;目标3:开发和评估实时的运动伪像减少 切片通过切片前瞻性运动校正(PMC);目标4:评估运动监控的效用,回顾性 运动校正和前瞻性运动校正,以改善功能性MRI计划癫痫的计划 外科手术。

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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