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Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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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High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
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Three-dimensional echo planar imaging with controlled aliasing: A sequence for high temporal resolution functional

Mayur Narsude1,2, Daniel Gallichan1, Wietske van der Zwaag3

  • 1Laboratory for Functional and Metabolic Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Magnetic Resonance in Medicine
|July 16, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new functional MRI technique, 3D-EPI-CAIPI, to significantly boost temporal resolution for whole-brain imaging. This advancement improves the detection of subtle brain activity changes and physiological noise characterization.

Keywords:
3D EPICAIPIRINHAcontrolled aliasingfunctional MRIparallel imagingphysiological noise

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Area of Science:

  • Magnetic Resonance Imaging
  • Neuroimaging
  • Functional Magnetic Resonance Imaging (fMRI)

Background:

  • High temporal resolution is crucial for accurately capturing dynamic brain activity in fMRI.
  • Traditional methods often face trade-offs between resolution, image quality, and scan time.
  • Minimizing signal loss due to undersampling (g-factor) is essential for reliable fMRI data.

Purpose of the Study:

  • To develop and evaluate a three-dimensional echo planar imaging (3D-EPI) sequence combined with controlled aliasing (CAIPI).
  • To substantially increase temporal resolution in whole-brain fMRI.
  • To minimize geometry-factor (g-factor) losses during accelerated imaging.

Main Methods:

  • Implementation of a 3D-EPI-CAIPI sequence on a 7 Tesla scanner with a 32-channel receive coil.
  • Evaluation of image quality against conventional parallel imaging acquisitions.
  • Assessment of temporal resolution for physiological noise removal and hemodynamic response detection.

Main Results:

  • Whole-brain fMRI achieved 371 ms temporal resolution with acceptable image quality (2x2x2 mm voxel size).
  • Ten-fold accelerated 3D-EPI-CAIPI reduced maximum g-factor losses by up to 62% compared to 3D-EPI.
  • 400 ms temporal resolution enabled detection of time-to-peak variations in functional responses due to multisensory facilitation.

Conclusions:

  • 3D-EPI-CAIPI significantly enhances temporal resolution in whole-brain fMRI.
  • Improved temporal resolution aids in better physiological noise characterization and increased sensitivity to neural signals.
  • The technique allows for the study of subtle hemodynamic response dynamics in reduced scan times.