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Related Concept Videos

Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

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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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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Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
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A modified Fourier-based phase unwrapping algorithm with an application to MRI venography.

Hassan Bagher-Ebadian1, Quan Jiang, James R Ewing

  • 1Department of Neurology, Henry Ford Hospital, Detroit, MI 48202, USA.

Journal of Magnetic Resonance Imaging : JMRI
|January 10, 2008
PubMed
Summary

This study introduces a fast, single-step method to unwrap MRI phase maps, improving susceptibility-weighted imaging (SWI) venograms and static magnetic field inhomogeneity mapping.

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Image Processing
  • Medical Imaging

Background:

  • MRI phase maps often require unwrapping to correct for phase wrapping artifacts.
  • Existing phase unwrapping methods can be computationally intensive or lack determinism.
  • Susceptibility-weighted imaging (SWI) benefits from accurate phase map unwrapping for improved visualization of venous structures.

Purpose of the Study:

  • To present a novel, single-step deterministic algorithm for unwrapping MRI phase maps.
  • To adapt a Fourier-based phase unwrapping technique for MRI applications.
  • To evaluate the algorithm's performance and stability under varying noise conditions.

Main Methods:

  • Applied Laplacian operators in Fourier space to MRI phase maps.
  • Modified a Fourier-based phase unwrapping algorithm using demodulation for signal symmetrization.
  • Simulated wrapped phase maps with varying thermal noise levels in k-space.
  • Assessed algorithm stability across different signal-to-noise ratios (SNR).
  • Applied the algorithm to SWI phase maps to generate venograms.

Main Results:

  • The algorithm accurately reproduced original phase maps across diverse phase gradients and noise levels in simulations.
  • Demonstrated stability and robustness even with significant thermal noise.
  • Successfully generated high-quality venograms from SWI data, showcasing clinical utility.
  • The procedure was computationally efficient.

Conclusions:

  • A fast, stable, and deterministic single-step method for unwrapping MRI phase maps has been developed.
  • This technique is suitable for applications such as SWI and mapping static magnetic field inhomogeneity.
  • The method offers a significant improvement for quantitative MRI analyses requiring accurate phase information.