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Selective averaging for the diffusion tensor measurement.

Jiun-Jie Wang1, Ralf Deichmann, IngTsung Hsiao

  • 1Department of Medical Imaging and Radiological Sciences, ChangGung University, TaoYuan county 333, Taiwan. jwang@mail.cgu.edu.tw

Magnetic Resonance Imaging
|May 28, 2005
PubMed
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This study introduces a selective averaging algorithm using navigator echoes to reduce motion artifacts in multishot echo planar imaging for diffusion tensor imaging (DTI). The method improves data quality without extending acquisition time.

Area of Science:

  • Medical Imaging
  • Diffusion Tensor Imaging (DTI)
  • Magnetic Resonance Imaging (MRI)

Background:

  • Multishot echo planar imaging (EPI) is crucial for high-resolution diffusion measurements.
  • EPI is prone to motion artifacts due to k-space data combination.
  • Existing solutions like cardiac gating increase acquisition time.

Purpose of the Study:

  • To develop a novel selective averaging algorithm to mitigate motion artifacts in EPI.
  • To utilize navigator echo information for motion detection and data correction.
  • To improve the quality of diffusion tensor imaging data.

Main Methods:

  • A selective averaging algorithm based on navigator echo information was developed.
  • Continuous data sampling without cardiac gating was employed.

Related Experiment Videos

  • Motion-contaminated data were identified via thresholding and discarded during postprocessing.
  • Averaging was performed in modulus or complex format.

    • Main Results:

    • Navigator echo information effectively indicated motion contamination.
    • The proposed algorithm reduced motion artifacts in DTI data.
    • Both modulus and complex averaging methods improved signal-to-noise ratio.
    • Differences in DTI quantification were observed between modulus and complex averaging.

    Conclusions:

    • The selective averaging algorithm effectively reduces motion artifacts in multishot EPI for DTI.
    • Navigator echoes provide reliable indicators of motion contamination.
    • The method enhances DTI data quality and signal-to-noise ratio without prolonged scan times.