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Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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A pulse is a short burst of radio waves distributed over a range of frequencies that simultaneously excites all the nuclei in the sample. Upon passing a radio frequency pulse along the x-axis, the nuclei absorb energy corresponding to their Larmor frequencies and achieve resonance. This shifts the net magnetization vector from the z-axis toward the transverse plane. This angle of rotation of the magnetization vector, or the flip angle, is proportional to the duration and intensity of the pulse.
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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...

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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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Published on: June 26, 2013

On the numerically predicted spatial BOLD fMRI specificity for spin echo sequences.

Daniel Pflugfelder1, Kaveh Vahedipour, Kamil Uludağ

  • 1Institute of Neuroscience and Medicine-4, Forschungszentrum Jülich, 52425 Jülich, Germany. d.pflugfelder@fz-juelich.de

Magnetic Resonance Imaging
|September 16, 2011
PubMed
Summary
This summary is machine-generated.

This study uses MRI simulations to assess blood oxygenation level-dependent (BOLD) functional MRI (fMRI) spatial specificity. Findings reveal increased specificity with higher magnetic field strength and shorter echo times, challenging existing models.

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Neuroimaging
  • Biophysics

Background:

  • Functional MRI (fMRI) relies on the blood oxygenation level-dependent (BOLD) signal.
  • Accurate spatial localization of the BOLD signal is crucial for fMRI applications.
  • Existing models for BOLD signal behavior, particularly in microvasculature, may require refinement.

Purpose of the Study:

  • To predict the spatial specificity of the BOLD fMRI signal using numerical simulations.
  • To investigate the influence of magnetic field strength, echo time, and tissue type on BOLD fMRI spatial specificity.
  • To evaluate and refine existing models for extravascular signal decay in the context of BOLD fMRI.

Main Methods:

  • Utilized Monte Carlo simulations on a microvascular model of randomly oriented cylinders.
  • Investigated spin echo BOLD fMRI signal spatial specificity as a function of field strength, echo time, and tissue types (grey matter and cerebrospinal fluid).
  • Assessed the validity of the mono-exponential signal decay approximation (MEA) for large pial vessels.

Main Results:

  • Spatial specificity increases with field strength up to 16 Tesla and is maximal for echo times shorter than tissue T(2).
  • The mono-exponential signal decay approximation (MEA) is inadequate for describing extravascular signal decay in large pial vessels.
  • Cerebrospinal fluid (CSF) significantly reduces spatial specificity when located at the grey matter-CSF interface, unlike grey matter alone.

Conclusions:

  • The study provides a refined understanding of BOLD fMRI spatial specificity based on numerical simulations.
  • Current models using the MEA may overestimate spatial specificity, necessitating model refinement.
  • The presence of CSF at the cortical surface can significantly impair the spatial specificity of the BOLD fMRI signal, impacting interpretations of superficial cortical activity.