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Biophysical mechanisms of diffusion weighted MRI assessed through computational modeling and experiments in bioreactor cell cultures.

机译:通过计算模型和生物反应器细胞培养物中的实验评估扩散加权MRI的生物物理机制。

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摘要

The apparent diffusion coefficient (ADC) is a quantitative measure of water diffusion in tissue which is sensitive to the microstructural features of brain tissue and can be measured non-invasively with diffusion-weighted MRI (DWMRI). Within minutes after the onset of ischemic stroke, the ADC of water decreases 30-50% within the affected tissue. Although this was initially discovered nearly two decades ago, there is no consensus on the biophysical mechanisms responsible for the drop in ADC after ischemia. This dissertation investigates the biophysical mechanisms which determine the ADC through mathematical models of water diffusion in tissue as well as experiments in hollow fiber bioreactor (HFBR) cell cultures.;The mathematical model of water diffusion in tissue predicts that the biophysical mechanisms which affect the ADC are diffusion time dependent. At short diffusion times, the ADC is sensitive to the intrinsic diffusivity of intracellular water, while at long diffusion times, the ADC is sensitive to changes in the intracellular volume fraction. Furthermore, the ADC changes associated with ischemia can be account for completely by a change in the intracellular cell volume fraction when the intracellular T2 is allowed to be lower than the extracellular T2.;A unique feature of the HFBR bioreactor cell culture system is that it allows the diffusive properties of intracellular water to be investigated individually. The change after ischemia in the ADC measured from intracellular water (iADC) is dependent upon the diffusion time used to collect iADC measurements. At short diffusion times, the iADC decreases after ischemia, which is likely due to a decrease in the energy dependent movement of water within the cell. At long diffusion times, the iADC increases after ischemia, which is related to cell swelling. The results from the HFBR experiments are consistent with the mathematical model and provide a clear picture of the biophysical mechanisms important to measurements of water diffusion in living and ischemic tissue with DWMRI.
机译:表观扩散系数(ADC)是对组织中水扩散的定量测量方法,对脑组织的微结构特征敏感,可以通过扩散加权MRI(DWMRI)进行无创测量。在缺血性中风发作后的几分钟内,受影响组织内水的ADC降低30-50%。尽管最初是在近二十年前发现的,但对于缺血后ADC下降的生物物理机制尚无共识。本论文通过组织中水扩散的数学模型以及中空纤维生物反应器(HFBR)细胞培养的实验研究了决定ADC的生物物理机制。;组织中水扩散的数学模型预测了影响ADC的生物物理机制。与扩散时间有关。在短扩散时间,ADC对细胞内水的固有扩散率敏感,而在长扩散时间,ADC对细胞内体积分数的变化敏感。此外,当允许细胞内T2低于细胞外T2时,与缺血相关的ADC变化可以完全通过细胞内细胞体积分数的变化来解释。; HFBR生物反应器细胞培养系统的独特之处在于它允许对细胞内水的扩散特性进行单独研究。从细胞内水(iADC)测量的ADC缺血后的变化取决于用于收集iADC测量值的扩散时间。在较短的扩散时间,缺血后iADC降低,这很可能是由于细胞内水依赖能量的运动减少所致。在长扩散时间,缺血后iADC增加,这与细胞肿胀有关。 HFBR实验的结果与数学模型相符,并提供了清晰的生物物理机制图景,对于用DWMRI测量活体和缺血组织中水的扩散至关重要。

著录项

  • 作者

    Harkins, Kevin Daniel.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Engineering Biomedical.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 142 p.
  • 总页数 142
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物医学工程;
  • 关键词

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