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

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
负责人:
Dinesh Kumar Deelchand
金额:
$33.48万
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
项目状态:
已结题
起止时间:
2020-07-01 至 2024-03-31

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中文摘要
翻译
项目摘要/摘要 质子磁共振波谱(1HMRS)和光谱成像(MRSI)允许无创研究 大脑化学反应。然而,主体运动仍然是MRS的主要障碍,特别是在容易运动的MRS中 儿童、老年人和运动障碍患者等人群。运动导致不准确 局部化会降低MRS的光谱质量。这些影响中的大多数都无法追溯纠正,而且 必须进行前瞻性修正(即实时修正)。在大脑中,现有的预期运动校正的MRS 序列目前仅限于少数几个研究中心,并未得到广泛应用。在脊髓中, 前瞻运动和垫片矫正尚未见报道。此应用程序的主要目标是 为大脑和脊髓开发全自动、高性能、运动校正的MRS序列, 还易于与其他机构共享(不需要额外的外部硬件),并且易于使用。我们的 具体目标如下。在目标1A中,我们将开发更快、更少的改进的大脑导航器 对B0不均匀的敏感性,并将允许在3T和7T调整MRS体素中的二阶垫片。在……里面 目的1B,我们将在3T和7T时进行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,以实现可重现的、高质量的MRS数据采集,甚至 由非MRS专家提供。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表现- 健康志愿者(儿童、年轻人和老年人)和患有癌症的儿童的生活状况 粘多糖病I型,肾上腺脑白质营养不良和Friedreich共济失调。我们将初步开发这些新的 西门子扫描仪的技术,目标是在下一笔资金中将其转化为其他制造商 句号。我们预计“按下按钮”的数据采集和预期的运动校正将删除 仍然存在高质量获取MRS数据的障碍。两者都提高了光谱质量 作为一个整体,减少光谱质量的变异性是可靠的MRS测量的关键。使用 提高可靠性和易用性,大脑和脊髓MRS的全部潜力将广泛用于 即将进行的临床研究和基因治疗试验。
英文摘要
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.
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Fully Automated Motion-corrected MR Spectroscopy in Human Brain and Spinal Cord
  • 批准号:
    10436848
  • 项目类别:
  • 资助金额:
    $34.88万
  • 财政年份:
    2020
  • 负责人:
    Dinesh Kumar Deelchand
  • 依托单位:
Fully Automated Motion-corrected MR Spectroscopy in Human Brain and Spinal Cord
  • 批准号:
    10200036
  • 项目类别:
  • 资助金额:
    $28.43万
  • 财政年份:
    2020
  • 负责人:
    Dinesh Kumar Deelchand
  • 依托单位:
海外基金