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Updated: Jul 20, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Published on: February 25, 2013

A novel k-space trajectory measurement technique

Y Zhang1, H P Hetherington, E M Stokely

  • 1Department of Biomedical Engineering, University of Alabama at Birmingham, 35294, USA.

Magnetic Resonance in Medicine
|June 11, 1998
PubMed
Summary

A novel magnetic resonance imaging (MRI) technique efficiently measures k-space trajectories using minimal data. This advancement enables real-time k-space trajectory measurement, even with patient data, enhancing MRI applications.

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Biomedical Engineering

Background:

  • Accurate k-space trajectory measurement is crucial for high-quality MRI reconstruction.
  • Traditional methods are often time-consuming and require extensive data acquisition.
  • The efficiency of k-space trajectory estimation impacts real-time imaging capabilities.

Purpose of the Study:

  • To propose and demonstrate a new, efficient k-space trajectory measurement technique.
  • To enable k-space trajectory measurement using only a few readout lines.
  • To facilitate patient-data-based k-space trajectory measurement.

Main Methods:

  • A novel technique utilizing phase values of acquired MR signals.
  • Measurement of k-space trajectory in seconds.
  • Validation using phantom and human studies at 4.1 Tesla.

Main Results:

  • Successful demonstration of the proposed k-space trajectory measurement technique.
  • The technique achieves measurement in seconds, significantly improving efficiency.
  • Utility confirmed in both phantom and human studies at 4.1 T.

Conclusions:

  • The developed technique offers an efficient method for k-space trajectory measurement.
  • Its speed and minimal data requirement make it suitable for clinical settings and patient data.
  • This advancement holds potential for improving MRI acquisition and reconstruction.