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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...
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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Related Experiment Video

Updated: May 23, 2026

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

Practical considerations for in vivo MRI with higher dimensional spatial encoding.

Daniel Gallichan1, Chris A Cocosco, Gerrit Schultz

  • 1University Medical Center Freiburg, Freiburg, Germany. daniel.gallichan@epfl.ch

Magma (New York, N.Y.)
|April 10, 2012
PubMed
Summary
This summary is machine-generated.

This study explores advanced in vivo imaging techniques using multi-channel spatial encoding. A modified O-space imaging trajectory improves image quality and significantly reduces computational demands for practical MRI reconstruction.

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Area of Science:

  • Magnetic Resonance Imaging
  • Image Reconstruction
  • Medical Physics

Background:

  • Spatial encoding in MRI is crucial for image formation.
  • Higher-order encoding schemes offer potential for advanced imaging.
  • In vivo imaging presents unique challenges for data acquisition and reconstruction.

Purpose of the Study:

  • To evaluate practical aspects of in vivo imaging with three or more spatial encoding channels.
  • To compare the 4-Dimensional Radial In/Out (4D-RIO) trajectory with O-space imaging.
  • To propose and validate modifications for improved O-space imaging performance.

Main Methods:

  • Simulated comparison of 4D-RIO and O-space imaging trajectories.
  • Development of a prephasing scheme to enhance O-space imaging.
  • In vivo human brain data acquisition using 4D-RIO.
  • Image reconstruction utilizing sparse matrix approximation of the encoding matrix.

Main Results:

  • Simulations demonstrated improved image quality with the proposed O-space prephasing scheme.
  • In vivo 4D-RIO data reconstructed effectively using only 5% of the encoding matrix.
  • Significant reduction in computer memory requirements for practical MRI reconstruction.

Conclusions:

  • The proposed trajectory modifications enhance O-space imaging quality.
  • Sparse matrix approximation enables efficient in vivo MRI reconstruction.
  • These techniques are promising for extending higher-order encoding to 3D imaging.