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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...

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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Diffusion tensor imaging (DTI) with retrospective motion correction for large-scale pediatric imaging.

Samantha J Holdsworth1, Murat Aksoy, Rexford D Newbould

  • 1Department of Radiology, Stanford University, Stanford, California, USA. sholdsworth@stanford.edu

Journal of Magnetic Resonance Imaging : JMRI
|June 13, 2012
PubMed
Summary

This study presents a new Diffusion Tensor Imaging (DTI) technique for children that corrects motion without rescanning. The method provides high-quality DTI brain images, reducing noise and artifacts for better diagnostic evaluation.

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Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Pediatric Radiology

Background:

  • Diffusion Tensor Imaging (DTI) is crucial for pediatric neuroimaging.
  • Motion artifacts significantly degrade DTI quality in children.
  • Existing motion correction methods often require rescanning or reacquisition.

Purpose of the Study:

  • To develop a clinical DTI technique for pediatric use.
  • To implement retrospective motion correction without rescanning.
  • To achieve high-quality DTI images with reduced noise and artifacts.

Main Methods:

  • Implemented a GRAPPA-accelerated DTI echo-planar imaging (EPI) sequence at 1.5T and 3T.
  • Developed automated reconstruction software for GRAPPA/ghost calibration, realignment, and phase correction.
  • Investigated volume rejection and b-matrix correction for severe motion.

Main Results:

  • The DTI reconstruction was highly robust in motion correction, with a failure rate of less than 0.2%.
  • High-quality DTI data was consistently provided for routine radiological evaluation.
  • The technique successfully corrected for large motion in pediatric subjects.

Conclusions:

  • High-quality pediatric DTI brain data can be acquired using this integrated sequence and reconstruction method.
  • The retrospective motion correction approach is effective for most cases.
  • Combining phase correction and complex averaging significantly improves image quality by reducing Rician noise.