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Technical Developments of in vivo Proton Magnetic Resonance Spectroscopy

机译:体内质子磁共振波谱技术的发展

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摘要

Proton magnetic resonance spectroscopy (MRS) is a powerful non-invasive technique to probe the biochemistry of the brain and body. Because MRS signals are collected from metabolites in concentrations on the order of a few mM in biological tissues, (rather than from water at approximately 40 M concentration, as in magnetic resonance imaging) low signal-to-noise ratio (SNR) poses a major challenge. In the face of this challenge, there is an ongoing need for improved techniques to enhance the clinical applicability of MRS. One area of interest, for example, involves using MRS data as a biomarker for the assessment of early response in radiation therapy.;This thesis focuses on the development of three MRS techniques, with the ultimate goal of this work being used in early radiation detection response protocols. First, a technique is developed to extend single voxel MRS to MRS of a small number of voxels (eg. two) without the need for spatial frequency encoding, using customized selective radiofrequency (RF) excitation and the localized sensitivity of multichannel receiver coils. The SNR efficiency of this technique is demonstrated in phantoms, healthy adult volunteers and patients with brain cancer. Second, a novel inversion and saturation recovery sequence is developed in conjunction with a spectral editing module to estimate the longitudinal relaxation time (T1) of lactate in vivo at 3 T. Lactate is of significant interest due to its role in cellular metabolism, and particularly its elevation in tumors. The resulting T1 estimate enables further optimization of MRS protocols and assists in estimating the absolute concentration of lactate from MRS data. Third, a diffusion-weighted two-dimensional spectroscopy sequence is developed, subsequently referred to as DW-JPRESS. This sequence, as well as an optimized processing pipeline, is demonstrated to provide estimates of the apparent diffusion coefficient (ADC) of brain metabolites beyond those typically accessible at 3 T, namely glutamate, myo-inositol and scyllo-inositol. The DW-JPRESS data provide unique information concerning the local diffusion environment of each measured metabolite, with the potential to characterize microstructural changes from different brain pathologies including cancer. Collectively, the technical development undertaken in this thesis promises to enhance future clinical applications of MRS, such as its use in distinguishing between neoplastic and nonneoplastic lesions, or for assessing tumor recurrence.
机译:质子磁共振波谱(MRS)是一种功能强大的非侵入性技术,可探测大脑和身体的生物化学。因为MRS信号是从生物组织中的代谢产物中以大约数mM的浓度收集的(而不是像磁共振成像那样从浓度约为40 M的水中收集),所以低信噪比(SNR)构成了主要挑战。面对这一挑战,不断需要改进的技术来增强MRS的临床适用性。例如,一个感兴趣的领域涉及使用MRS数据作为评估放射治疗早期反应的生物标志物。本论文重点研究了三种MRS技术的发展,这项工作的最终目的是用于早期放射线检测响应协议。首先,使用定制的选择性射频(RF)激励和多通道接收器线圈的局部灵敏度,开发了一种技术,无需空间频率编码即可将单个体素MRS扩展到少量体素(例如两个)的MRS。在幻影,健康的成年人志愿者和患有脑癌的患者中证明了该技术的SNR效率。其次,结合光谱编辑模块开发了一种新的反演和饱和度恢复序列,以估算3 T时体内乳酸的纵向弛豫时间(T1)。由于乳酸在细胞代谢中的作用,尤其是乳酸的作用,引起人们的极大关注其在肿瘤中的升高。最终的T1估算值可以进一步优化MRS协议,并有助于从MRS数据估算乳酸的绝对浓度。第三,建立了扩散加权二维光谱序列,随后称为DW-JPRESS。已证明该序列以及优化的处理流程可提供对脑代谢物的表观扩散系数(ADC)的估算值,这些代谢物的含量通常超出通常在3 T下可获得的谷氨酸,肌醇和水杨糖醇。 DW-JPRESS数据提供了有关每种测得代谢物的局部扩散环境的独特信息,具有表征来自包括癌症在内的不同脑部病理的微观结构变化的潜力。总体而言,本文所进行的技术发展有望增强MRS的未来临床应用,例如其在区分肿瘤性和非肿瘤性病变或评估肿瘤复发方面的用途。

著录项

  • 作者

    Landheer, Karl.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Biomedical engineering.;Biophysics.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 147 p.
  • 总页数 147
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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