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Related Experiment Videos

Intensity correction of phased-array surface coil images

J W Murakami1, C E Hayes, E Weinberger

  • 1Department of Radiology, University of Washington, Seattle 98195, USA.

Magnetic Resonance in Medicine
|April 1, 1996
PubMed
Summary
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This study introduces a postprocessing algorithm to correct signal intensity variations in MRI images caused by phased-array coils. The method enhances image uniformity for better diagnostic quality.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Imaging Technology

Background:

  • Phased-array coils offer high signal-to-noise ratio (SNR) but exhibit inhomogeneous sensitivity profiles.
  • This leads to signal intensity variations in MRI images, with higher signal near the coil and lower signal further away.

Purpose of the Study:

  • To develop and evaluate a postprocessing algorithm for correcting coil-related intensity variations in MRI images.
  • To improve image uniformity and diagnostic quality obtained with phased-array coils.

Main Methods:

  • A postprocessing algorithm was developed to address inhomogeneous sensitivity profiles of phased-array coils.
  • The algorithm's effectiveness was assessed using MRI images from volunteers acquired with various receive-only phased-array surface coils.

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Main Results:

  • The algorithm successfully corrected signal intensity variations caused by phased-array coil inhomogeneity.
  • Resulting images demonstrated improved signal uniformity across the scanned area.

Conclusions:

  • The proposed postprocessing algorithm effectively corrects intensity variations in MRI images acquired with phased-array coils.
  • This method enhances image quality and consistency, aiding in more reliable diagnoses.