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Magnetoacoustic Imaging of Electrical Conductivity of Biological Tissues at a Spatial Resolution Better than 2 mm

机译:优于2毫米的空间分辨率的生物组织的电导率的磁声成像

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摘要

Magnetoacoustic tomography with magnetic induction (MAT-MI) is an emerging approach for noninvasively imaging electrical impedance properties of biological tissues. The MAT-MI imaging system measures ultrasound waves generated by the Lorentz force, having been induced by magnetic stimulation, which is related to the electrical conductivity distribution in tissue samples. MAT-MI promises to provide fine spatial resolution for biological tissue imaging as compared to ultrasound resolution. In the present study, we first estimated the imaging spatial resolution by calculating the full width at half maximum (FWHM) of the system point spread function (PSF). The actual spatial resolution of our MAT-MI system was experimentally determined to be 1.51 mm by a parallel-line-source phantom with Rayleigh criterion. Reconstructed images made from tissue-mimicking gel phantoms, as well as animal tissue samples, were consistent with the morphological structures of the samples. The electrical conductivity value of the samples was determined directly by a calibrated four-electrode system. It has been demonstrated that MAT-MI is able to image the electrical impedance properties of biological tissues with better than 2 mm spatial resolution. These results suggest the potential of MAT-MI for application to early detection of small-size diseased tissues (e.g. small breast cancer).
机译:磁感应磁声层析成像(MAT-MI)是一种新兴的方法,用于非侵入性地成像生物组织的电阻抗特性。 MAT-MI成像系统测量由洛伦兹力产生的超声波,该力是由磁刺激引起的,这与组织样本中的电导率分布有关。与超声分辨率相比,MAT-MI有望为生物组织成像提供良好的空间分辨率。在本研究中,我们首先通过计算系统点扩展函数(PSF)的半峰全宽(FWHM)来估计成像空间分辨率。我们的MAT-MI系统的实际空间分辨率由具有瑞利标准的平行线源模型通过实验确定为1.51 mm。由模仿组织的凝胶体模以及动物组织样品制成的重建图像与样品的形态结构一致。通过校准的四电极系统直接确定样品的电导率值。已经证明,MAT-MI能够以高于2 mm的空间分辨率成像生物组织的电阻抗特性。这些结果表明MAT-MI在早期检测小型患病组织(例如小乳腺癌)中的潜力。

著录项

  • 期刊名称 PLoS Clinical Trials
  • 作者

    Gang Hu; Bin He;

  • 作者单位
  • 年(卷),期 2008(6),8
  • 年度 2008
  • 页码 e23421
  • 总页数 9
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

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