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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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MRI with phaseless encoding.

Franciszek Hennel1, Klaas P Pruessmann1

  • 1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Switzerland.

Magnetic Resonance in Medicine
|November 5, 2016
PubMed
Summary
This summary is machine-generated.

A novel phaseless encoding method in MRI generates positive real signals, enabling artifact removal through simple magnitude calculation. This technique overcomes phase variations from motion, improving image quality and resolution.

Keywords:
HELM microscopyMRIphase sensitivityspatial encodingsuper-resolution

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Signal Processing
  • Medical Imaging Physics

Background:

  • Fourier encoded MRI signals are complex and susceptible to phase variations from motion.
  • These phase variations can introduce artifacts, compromising image quality.
  • Existing methods struggle to fully mitigate these motion-induced artifacts.

Purpose of the Study:

  • To introduce a novel phaseless encoding strategy for MRI.
  • To develop a method that generates positive real MR signals, inherently robust to phase fluctuations.
  • To enable artifact removal via simple magnitude calculations before Fourier transformation.

Main Methods:

  • Phaseless encoding utilizes harmonic modulation of longitudinal magnetization before excitation.
  • This method can be combined with Fourier encoding in complementary or the same dimensions.
  • Reconstruction techniques inspired by harmonic excitation light microscopy (HELM) were adapted.

Main Results:

  • Achieved artifact-free images despite significant phase fluctuations caused by motion and receiver reference instability.
  • Demonstrated the ability to remove phase fluctuations by simple magnitude calculation.
  • The proposed reconstruction for mixed-encoded data achieved higher resolution than previous super-resolution methods.

Conclusions:

  • Spatial information can be encoded in the MR signal magnitude, making the technique insensitive to phase fluctuations.
  • This phaseless encoding approach offers a robust alternative for motion-prone MRI applications.
  • The method enhances image quality and resolution, particularly in challenging imaging scenarios.