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Partial k-space reconstruction in single-shot diffusion-weighted echo-planar imaging.

Pippa Storey1, Fred J Frigo, R Scott Hinks

  • 1Radiology Department, Evanston Northwestern Healthcare, Evanston, Illinois 60201, USA. pstorey@enh.org

Magnetic Resonance in Medicine
|February 28, 2007
PubMed
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This study introduces an adaptive homodyne algorithm for diffusion-weighted echo-planar imaging (DW-EPI). The new method corrects motion-induced artifacts in k-space, improving image quality without compromising resolution.

Area of Science:

  • Medical Imaging
  • Biophysics
  • Signal Processing

Background:

  • Partial k-space sampling in diffusion-weighted echo-planar imaging (DW-EPI) reduces echo time (TE) and enhances signal-to-noise ratio (SNR).
  • This sampling technique, however, heightens susceptibility to bulk rotational motion, inducing phase gradients that shift the echo in k-space.
  • Such shifts can lead to artifacts like intensity oscillations when echoes move into high spatial frequencies, where conventional homodyne reconstruction fails.

Purpose of the Study:

  • To develop an improved image reconstruction method for DW-EPI that mitigates motion-induced artifacts.
  • To address the limitations of standard homodyne reconstruction and zero-padding in the presence of k-space echo shifts.

Main Methods:

  • An adaptive homodyne algorithm was developed to detect echo locations within k-space.

Related Experiment Videos

  • The algorithm dynamically adjusts homodyne filter center and width based on detected echo shifts.
  • This adaptive approach was compared against conventional methods under simulated motion conditions.

    • Main Results:

    • The adaptive homodyne algorithm successfully produced artifact-free images when echoes shifted into high positive k-space frequencies.
    • The algorithm demonstrated robustness against bulk rotational motion artifacts.
    • In the absence of motion, the adaptive algorithm performed comparably to the standard homodyne method.

    Conclusions:

    • The proposed adaptive homodyne algorithm offers a superior solution for reconstructing DW-EPI images affected by motion.
    • This method effectively preserves image quality and resolution, overcoming limitations of existing techniques.
    • The adaptive algorithm enhances the reliability of DW-EPI for motion-prone imaging scenarios.