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Related Concept Videos

Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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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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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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Local field of view imaging for alias-free undersampling with nonlinear spatial encoding magnetic fields.

Hans Weber1, Gerrit Schultz, Daniel Gallichan

  • 1Department of Radiology-Medical Physics, University Medical Center Freiburg, Freiburg, Germany.

Magnetic Resonance in Medicine
|May 8, 2013
PubMed
Summary

Nonlinear magnetic fields in MRI can accelerate scans by adapting image resolution. This new "local field of view" concept allows faster data sampling without aliasing, improving MRI efficiency.

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Image Reconstruction

Background:

  • Nonlinear spatial encoding magnetic fields cause inhomogeneous image resolution in MRI.
  • A relationship exists between k-space coverage and local image resolvability, where k-space samples contribute spatially to spin density reconstruction.

Purpose of the Study:

  • To investigate the potential of nonlinear encoding properties for accelerating MRI acquisitions.
  • To develop and evaluate a concept for alias-free data undersampling based on localized resolvability.

Main Methods:

  • Development of a fast sampling trajectory based on the local field of view concept.
  • Evaluation using simulations and experimental data (phantom and in vivo) with quadrupolar encoding fields.
  • Comparison with linear encoding to demonstrate the specificity of the nonlinear approach.

Main Results:

  • The local field of view concept enables localized adaptation of image resolution.
  • Higher frequency k-space samples can be undersampled without introducing aliasing.
  • Demonstrated efficient data sampling in nonlinear encoding MRI.

Conclusions:

  • A novel effect of nonlinear spatial encoding magnetic fields was identified.
  • This effect facilitates more efficient data sampling in MRI.
  • The method helps to counterbalance the inherent variations in image resolution caused by nonlinear fields.