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Quantitative Susceptibility Mapping Using Magnetic Resonance Imaging

机译:使用磁共振成像的定量磁化率图

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摘要

Magnetic susceptibility is an intrinsic tissue property that reflects underlying concentration of iron, calcification or contrast agents, which are useful for the investigation of a wide range of physiological or pathological conditions. Due to this promising outlook, there has been a long-standing interest in quantifying magnetic susceptibility. Although methods to quantify susceptibility of certain material samples have been proposed in the past, a practical means to measure an arbitrary susceptibility distribution in a living organism was lacking. Consequently, many of the potential applications were still in speculation. This thesis reports a framework that allows quantitative mapping of magnetic susceptibility in human brain using magnetic resonance imaging (MRI). Two major building blocks were proposed to overcome the technical hurdles. First, a background field removal method was developed to obtain the magnetic field of interest free of contamination from background sources. Second, two independent methods were proposed to solve a classical ill-posed inverse problem of determining susceptibility sources from measured magnetic field. With these technical developments, quantitative susceptibility mapping was realized. Its utility was demonstrated in a molecular MRI application, where identification and quantification of iron-based contrast agents are now feasible, and in cerebral MRI, where susceptibility provides a more objective measurement of hemorrhage, allowing cross-center comparisons and longitudinal studies.
机译:磁化率是一种固有的组织特性,反映了铁,钙化或造影剂的潜在浓度,可用于研究各种生理或病理状况。由于这一前景广阔的前景,人们一直对量化磁化率感兴趣。尽管过去已经提出了量化某些材料样品的磁化率的方法,但是缺乏测量活生物体中任意磁化率分布的实用手段。因此,许多潜在的应用仍在推测中。本论文报告了一个框架,该框架允许使用磁共振成像(MRI)定量绘制人脑中的磁化率。为克服技术障碍,提出了两个主要的构建模块。首先,开发了一种背景场去除方法,以获得不受背景源污染的目标磁场。其次,提出了两种独立的方法来解决经典的不适定反问题,即根据测得的磁场确定磁化源。随着这些技术的发展,实现了定量磁化率绘图。它的实用性已在分子MRI应用中得到了证明,在该应用中现在可以鉴定和定量铁基造影剂;在脑部MRI中,药敏性可以更客观地测量出血,从而可以进行跨中心比较和纵向研究。

著录项

  • 作者

    Liu Tian;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
  • 中图分类

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