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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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The number of nuclear spins aligned in the lower energy state is slightly greater than those in the higher energy state. In the presence of an external magnetic field, as the spins precess at the Larmor frequency, the excess population results in a net magnetization oriented along the z axis. When a pulse or a short burst of radio waves at the Larmor frequency is applied along the x axis, the coupling of frequencies causes resonance and flips the nuclear spins of the excess population from the...

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Multiple-mouse Neuroanatomical Magnetic Resonance Imaging
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Published on: February 27, 2011

Radial imaging with multipolar magnetic encoding fields.

Gerrit Schultz1, Hans Weber, Daniel Gallichan

  • 1Department of Radiology, Medical Physics, University Medical Center Freiburg, 79106 Freiburg, Germany. gerrit.schultz@uniklinik-freiburg.de

IEEE Transactions on Medical Imaging
|August 17, 2011
PubMed
Summary
This summary is machine-generated.

New magnetic resonance imaging (MRI) reconstruction methods use multipolar fields for better spatial encoding. Iterative reconstruction effectively reduces artifacts in undersampled radial MRI data, outperforming direct methods.

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Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging (MRI)

Background:

  • Radial MRI uses multipolar magnetic fields for spatial encoding.
  • Parallel imaging techniques are crucial for accelerating MRI acquisition.

Purpose of the Study:

  • To develop and evaluate novel reconstruction methods for radial MRI data encoded with orthogonal multipolar magnetic fields.
  • To compare the performance of direct and iterative reconstruction algorithms for this specific encoding scheme.

Main Methods:

  • Developed direct and iterative reconstruction algorithms tailored for multipolar encoding in radial MRI.
  • Recasted the reconstruction problem into polar coordinates to simplify analysis of distortion and aliasing.
  • Applied Cartesian SENSE for unfolding aliased data with radially symmetric radio-frequency coils.

Main Results:

  • Direct reconstruction methods were found to be effective for fully sampled datasets.
  • Undersampled datasets reconstructed with the direct method exhibited star-shaped artifacts.
  • Iterative reconstruction significantly reduced artifacts in undersampled radial MRI data.

Conclusions:

  • Both direct and iterative reconstruction methods are viable for radial MRI with multipolar encoding.
  • Iterative reconstruction offers superior performance in mitigating artifacts for undersampled data.
  • The developed methods provide a foundation for improved radial MRI acquisition and reconstruction.