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Related Concept Videos

Magnetic Resonance Imaging01:24

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Measurement of Tumor T2* Relaxation Times after Iron Oxide Nanoparticle Administration
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T2-*weighted perfusion MRI.

E L Barbier1

  • 1Inserm, U836, 38042 Grenoble, France; Université Joseph Fourier, Grenoble Institut des Neurosciences, Site Santé à La Tronche, BP 170, 38042 Grenoble cedex 9, France.

Diagnostic and Interventional Imaging
|July 13, 2013
PubMed
Summary
This summary is machine-generated.

T2*-weighted perfusion MRI tracks contrast agent passage to map brain blood flow. This method enhances quantification by analyzing signal changes and using arterial input function deconvolution.

Keywords:
Blood flowBlood volumeImagingMean transit timePerfusion

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Area of Science:

  • Radiology
  • Medical Imaging
  • Neuroscience

Background:

  • T2*-weighted perfusion MRI utilizes the
  • first passage
  • principle to assess blood flow dynamics.
  • It monitors alterations in the T2*-weighted MRI signal during a bolus contrast agent's initial transit.

Purpose of the Study:

  • To detail the methodology of T2*-weighted perfusion MRI.
  • To explain the process of generating parametric maps for blood flow assessment.
  • To highlight techniques for improving quantification accuracy.

Main Methods:

  • Following modifications in the T2*-weighted MRI signal during contrast agent first passage.
  • Performing pixel-by-pixel analysis of signal curves to generate parametric maps (time of arrival, peak time, mean transit time, relative volume, blood flow).
  • Employing deconvolution with the arterial input function for enhanced quantification.
  • Utilizing pre-injection of a small contrast dose to mitigate extravasation effects.

Main Results:

  • Parametric maps including time of arrival, peak time, mean transit time, relative volume, and blood flow can be obtained.
  • Deconvolution analysis with arterial input function improves the accuracy of perfusion quantification.
  • Pre-injection technique helps to limit contrast agent extravasation impact.

Conclusions:

  • T2*-weighted perfusion MRI provides valuable insights into cerebral hemodynamics.
  • The described methods enhance the quantitative accuracy of perfusion MRI.
  • Techniques like arterial input function deconvolution and contrast pre-injection are crucial for reliable results.