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Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol
07:59

Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol

Published on: September 7, 2018

Chemical shift encoded water-fat separation using parallel imaging and compressed sensing.

Samir D Sharma1, Houchun H Hu, Krishna S Nayak

  • 1Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, California 90089, USA. sdsharma@usc.edu

Magnetic Resonance in Medicine
|April 17, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a faster method for separating water and fat in MRI scans using parallel imaging and compressed sensing. This technique accelerates imaging while maintaining image quality, crucial for detailed medical diagnostics.

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Imaging Physics

Background:

  • Chemical shift encoded (CSE) techniques reliably separate water and fat but require multiple echo times, increasing scan duration.
  • Extended scan times necessitate compromises in spatial resolution, coverage, and motion artifact tolerance.

Purpose of the Study:

  • To develop an accelerated water-fat separation method combining parallel imaging and compressed sensing.
  • To introduce multiscale cubic B-splines for improved B(0) field map estimation.

Main Methods:

  • A combined parallel imaging and compressed sensing approach for accelerated water-fat separation.
  • Alternating minimization used for estimating water/fat images and B(0) field maps.
  • l(1)-regularization applied to coil-combined water and fat images, with coil sensitivity derived from k-space convolution kernels.

Main Results:

  • Demonstrated uniform water-fat separation from retrospectively undersampled data in liver, brachial plexus, ankle, and knee.
  • Achieved 8.6x acceleration in a prospectively undersampled knee acquisition with preserved image quality.

Conclusions:

  • The proposed method significantly accelerates water-fat separation in MRI.
  • This approach maintains image quality and uniformity across various anatomical regions, enhancing diagnostic capabilities.