Fully Automated Motion-corrected MR Spectroscopy in Human Brain and Spinal Cord

人脑和脊髓的全自动运动校正磁共振波谱分析

基本信息

  • 批准号:
    10436848
  • 负责人:
  • 金额:
    $ 34.88万
  • 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:
    2020-07-01 至 2025-03-31
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY/ABSTRACT Proton magnetic resonance spectroscopy (1H MRS) and spectroscopic imaging (MRSI) allow noninvasive study of brain chemistry. However, subject motion remains a major obstacle in MRS, especially in motion-prone populations such as children, the elderly, and patients with movement disorders. Motion results in inaccurate localization and degrades MRS spectral quality. Most of these effects cannot be corrected retroactively, and must be corrected prospectively (i.e. in real-time). In the brain, existing prospective motion-corrected MRS sequences are currently limited to a handful of research centers and are not widely used. In the spinal cord, prospective motion and shim correction has not been reported. The main objective of this application is to develop fully automated, high performance, motion-corrected MRS sequences for the brain and spinal cord, that are also easy to share (no additional external hardware needed) with other institutions and easy to use. Our specific aims are as follows. In Aim 1A, we will develop improved brain navigators that are faster and less sensitivity to B0 inhomogeneities, and will allow adjustment of 2nd order shims in the MRS voxel at 3T and 7T. In Aim 1B, we will develop prospective motion correction in the spinal cord at 3T and 7T. In Aim 2, we will fully automate the sequence workflow to allow “push-button” acquisition of reproducible, high quality MRS data, even by non-MRS experts. In Aim 3, we will assess the performance of techniques developed in Aims 1 and 2 in real- life conditions in healthy volunteers (children, young and elderly adults) and in children with mucopolysaccharidosis type I, adrenoleukodystrophy and Friedreich ataxia. We will initially develop these new techniques on Siemens scanners, with the goal of translating them to other manufacturers in the next funding period. We expect that “push-button” data acquisition together with prospective motion correction will remove remaining obstacles for acquisition of MRS data with consistently high quality. Both improving spectral quality as a whole and decreasing the variability in spectral quality are key for reliable MRS measurements. With improved reliability and ease of use, the full potential of brain and spinal cord MRS will be widely available for upcoming clinical studies and gene therapy trials.
项目概要/摘要 质子磁共振波谱 (1H MRS) 和波谱成像 (MRSI) 可实现无创研究 大脑化学。然而,对象运动仍然是 MRS 的一个主要障碍,特别是在容易运动的情况下 儿童、老人、运动障碍患者等人群。运动结果不准确 定位并降低 MRS 频谱质量。大多数这些影响无法追溯纠正,并且 必须前瞻性地(即实时地)纠正。在大脑中,现有的前瞻性运动校正 MRS 序列目前仅限于少数研究中心,并未得到广泛使用。在脊髓中, 预期运动和垫片校正尚未报道。该应用程序的主要目的是 为大脑和脊髓开发全自动、高性能、运动校正的 MRS 序列, 也易于与其他机构共享(无需额外的外部硬件)并且易于使用。我们的 具体目标如下。在目标 1A 中,我们将开发改进的大脑导航器,速度更快、更少 对 B0 不均匀性的敏感性,并且允许在 3T 和 7T 处调整 MRS 体素中的二阶匀场。在 目标 1B,我们将开发 3T 和 7T 脊髓的前瞻性运动矫正。在目标2中,我们将充分 自动化序列工作流程,允许“按钮”采集可重复的高质量 MRS 数据,甚至 由非 MRS 专家进行。在目标 3 中,我们将评估目标 1 和目标 2 中开发的技术的实际性能: 健康志愿者(儿童、年轻人和老年人)和患有以下疾病的儿童的生活状况 I 型粘多糖贮积症、肾上腺脑白质营养不良和弗里德赖希共济失调。我们将首先开发这些新的 西门子扫描仪上的技术,目标是在下一次融资中将其转化为其他制造商 时期。我们预计“按钮”数据采集与前瞻性运动校正将消除 获取持续高质量的 MRS 数据仍然存在障碍。两者都提高了光谱质量 总体而言,减少光谱质量的变异性是可靠 MRS 测量的关键。和 提高可靠性和易用性,大脑和脊髓 MRS 的全部潜力将被广泛用于 即将进行的临床研究和基因治疗试验。

项目成果

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Dinesh Kumar Deelchand其他文献

Determination of Oxidative Glucose Metabolism In Vivo in the Young Rat Brain Using Localized Direct-Detected 13C NMR Spectroscopy
  • DOI:
    10.1007/s11064-011-0519-x
  • 发表时间:
    2011-06-10
  • 期刊:
  • 影响因子:
    3.800
  • 作者:
    Kathleen Ennis;Dinesh Kumar Deelchand;Ivan Tkac;Pierre-Gilles Henry;Raghavendra Rao
  • 通讯作者:
    Raghavendra Rao

Dinesh Kumar Deelchand的其他文献

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{{ truncateString('Dinesh Kumar Deelchand', 18)}}的其他基金

Fully Automated Motion-corrected MR Spectroscopy in Human Brain and Spinal Cord
人脑和脊髓的全自动运动校正磁共振波谱分析
  • 批准号:
    10029866
  • 财政年份:
    2020
  • 资助金额:
    $ 34.88万
  • 项目类别:
Fully Automated Motion-corrected MR Spectroscopy in Human Brain and Spinal Cord
人脑和脊髓的全自动运动校正磁共振波谱分析
  • 批准号:
    10200036
  • 财政年份:
    2020
  • 资助金额:
    $ 34.88万
  • 项目类别:

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