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TSE with average-specific phase encoding ordering for motion detection and artifact suppression.

Ling Zhang1, Eugene G Kholmovski, Junyu Guo

  • 1Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, Utah, USA. lzhang@ucair.med.utah.edu

Journal of Magnetic Resonance Imaging : JMRI
|May 24, 2007
PubMed
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This study introduces a new method to detect and reduce motion artifacts in MRI scans. The technique improves image quality by correcting corrupted data, leading to clearer medical images.

Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging (MRI)

Background:

  • Motion artifacts significantly degrade the quality of Magnetic Resonance Imaging (MRI) scans.
  • Multi-average Turbo-Spin-Echo (TSE) sequences are susceptible to motion corruption during data acquisition.

Purpose of the Study:

  • To develop a method for detecting motion-corrupted measurements in multi-average TSE acquisitions.
  • To reduce motion artifacts in reconstructed MRI images.

Main Methods:

  • A novel average-specific phase encoding (PE) ordering scheme was implemented for multi-average TSE sequences.
  • A motion detection algorithm was developed to identify and discard corrupted echo trains.
  • Discarded data was replaced with uncorrupted k-space data from adjacent pre-averaged images (PAIs).

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Main Results:

  • The method successfully detected motion-corrupted echo trains in both phantom and human studies.
  • Significant reduction in motion artifacts was observed in most reconstructed images.
  • Residual artifacts were primarily due to minor inconsistencies after correction.

Conclusions:

  • The developed method integrates a new data acquisition strategy, motion detection, and correction algorithms.
  • This approach is effective in mitigating artifacts caused by both bulk and local motion during MRI scans.