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A Modified Phase Cycling Method for Complex-Valued MRI Reconstruction.

Wei He1, Yu Zhang1, Junling Ding2

  • 1Department of Computer Science and Technology, Xinyang Normal University, Xinyang 464000, China.

International Journal of Biomedical Imaging
|December 7, 2020
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Summary
This summary is machine-generated.

This study introduces a modified phase cycling method to eliminate artifacts in magnetic resonance imaging (MRI) magnitude reconstruction. The new approach improves image quality under practical 2D subsampling acquisition.

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Area of Science:

  • Medical Imaging
  • Image Reconstruction
  • Signal Processing

Background:

  • Phase cycling is a key method for complex-valued MR image reconstruction.
  • Practical 2D subsampling in MRI can lead to magnitude artifacts, particularly ring artifacts.
  • Existing methods struggle to fully address these artifacts in real-world scenarios.

Purpose of the Study:

  • To develop a modified phase cycling method for artifact reduction in MRI.
  • To improve the accuracy of magnitude reconstruction in 2D subsampled Cartesian acquisitions.
  • To enhance the overall quality of reconstructed MR images.

Main Methods:

  • Incorporation of one-dimensional total variation (TV) regularization into the phase cycling algorithm.
  • Pre-processing of the magnitude component before its update using TV regularization.
  • Utilizing an operation from SFISTA for updating magnitude and phase images.

Main Results:

  • Successful elimination of ring artifacts in reconstructed MR images.
  • Significant improvement in the quality of magnitude reconstruction.
  • Demonstrated effectiveness of the modified phase cycling method under practical subsampling conditions.

Conclusions:

  • The proposed modified phase cycling method effectively removes artifacts in MRI.
  • This technique enhances magnitude reconstruction accuracy in 2D subsampled Cartesian acquisitions.
  • The integration of TV regularization offers a robust solution for artifact mitigation in MRI.