首页> 外文学位 >Development of MRI techniques for measuring cerebral blood volume, blood flow, and blood oxygenation within a single scan.
【24h】

Development of MRI techniques for measuring cerebral blood volume, blood flow, and blood oxygenation within a single scan.

机译:MRI技术的开发,可在一次扫描中测量脑血容量,血流量和血氧合。

获取原文
获取原文并翻译 | 示例

摘要

Functional MRI (fMRI) is commonly performed using the blood-oxygenation-level-dependent (BOLD) approach, which is sensitive to ensemble changes in cerebral blood volume (CBV), cerebral blood flow (CBF), and cerebral metabolic rate of oxygen (CMRO2). In order to understand and quantify the BOLD fMRI signal, it is essential to design multi-modal fMRI approaches that are sensitized to these individual hemodynamic parameters, and to further determine the oxygen metabolism. This dissertation aims to develop and improve current quantitative fMRI techniques to detect relaxation times T2*, cerebral blood volume (CBV), cerebral blood flow (CBF), blood oxygenation level hemodynamics, oxygen extraction fraction (OEF), and CMRO2 during neuronal activation in a time efficient manner.;Total and extravascular R2* values in the parenchyma in human visual cortex are measured by combining multi-echo BOLD and vascular-space-occupancy (VASO) fMRI with visual stimulation at 7T. The VASO method is expected to suppress the intravascular signals in the microvessels. Both the absolute parenchymal extravascular R2* and R2 * changes (DeltaR2*) upon activation are determined, and the ratio of extravascular DeltaR2* to total DeltaR2* is calculated, confirming a predominant contribution from the extravascular component of the BOLD effect at 7T. Parenchymal OEF during stimulation is also estimated based on these measurements, the value of which is consistent with those reported at lower field strengths.;While normally in most of the quantitative fMRI approaches, BOLD, CBV, and CBF measurements are separately performed to estimate CMRO2 dynamics, the ability to acquire these physiological parameters simultaneously would be very useful to improve image acquisition efficiency, and more importantly reduce the sensitivity to temporal variations due to factors such as subject head motion, task performance, and physiologic fluctuations between the fMRI experiments. A large portion of this dissertation is devoted to design single-scan approaches to detect changes in the multi-modal hemodynamic signals. First, a novel 3D whole-brain MRI pulse sequence, dubbed 3D VASO-FAIR, is proposed to detect CBV and CBF responses in a single scan. Second, a new 3D acquisition strategy that extends VASO-FAIR and incorporates a 3D T2-preparation gradient-echo (GRE) BOLD method is implemented to simultaneously measure BOLD, CBV, and CBF reactivity during functional stimulation. Compared to individually performed multi-modal fMRI scans, similar image quality, activation patterns, relative signal changes (?S/S), tSNRs and CNRs can be achieved using the proposed combined sequences. Finally, based on the BOLD, CBV, and CBF responses obtained from the combined sequence, the oxygen metabolism alterations (OEF and CMRO2) are quantified.
机译:功能性MRI(fMRI)通常使用依赖血液氧合水平(BOLD)的方法进行,该方法对脑血容量(CBV),脑血流量(CBF)和脑氧代谢率( CMRO2)。为了理解和量化BOLD fMRI信号,设计对这些个体血液动力学参数敏感的多模式fMRI方法至关重要,并进一步确定氧代谢。本文旨在开发和改进当前的定量功能磁共振成像技术,以检测神经元激活过程中的弛豫时间T2 *,脑血容量(CBV),脑血流量(CBF),血液氧合水平血流动力学,氧提取分数(OEF)和CMRO2。通过将多回波BOLD和血管空位(VASO)fMRI与7T时的视觉刺激相结合,测量人的视觉皮层实质中的总R2 *和血管外R2 *值。 VASO方法有望抑制微血管中的血管内信号。确定激活后的实质实质血管外R2 *和R2 *变化(DeltaR2 *),并计算血管外DeltaR2 *与总DeltaR2 *的比率,证实了在7T时BOLD效应的血管外成分的主要贡献。还基于这些测量值来估计刺激期间的实质OEF,其值与在较低场强下报告的值一致。尽管通常在大多数定量功能磁共振成像方法中,BOLD,CBV和CBF测量值都是单独进行以估算CMRO2动力学方面,同时获取这些生理参数的能力对于提高图像获取效率非常有用,并且更重要的是降低由于诸如受试者头部运动,任务表现以及fMRI实验之间的生理波动等因素而引起的时间变化敏感性。本论文的很大一部分致力于设计单扫描方法来检测多模态血液动力学信号的变化。首先,提出了一种新颖的3D全脑MRI脉冲序列,称为3D VASO-FAIR,可在单次扫描中检测CBV和CBF响应。其次,实施了一种新的3D采集策略,该策略扩展了VASO-FAIR并结合了3D T2制备梯度回波(GRE)BOLD方法,以在功能刺激过程中同时测量BOLD,CBV和CBF反应性。与单独执行的多模式fMRI扫描相比,可以使用建议的组合序列实现相似的图像质量,激活模式,相对信号变化(ΔS/ S),tSNR和CNR。最后,根据从组合序列获得的BOLD,CBV和CBF响应,对氧代谢变化(OEF和CMRO2)进行定量。

著录项

  • 作者

    Cheng, Ying.;

  • 作者单位

    The Johns Hopkins University.;

  • 授予单位 The Johns Hopkins University.;
  • 学科 Biomedical engineering.;Medical imaging.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 151 p.
  • 总页数 151
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:53:06

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号