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Related Experiment Videos

Respiratory reordered UNFOLD perfusion imaging.

Nicholas A Ablitt1, Peter D Gatehouse, David N Firmin

  • 1Royal Society/Wolfson Foundation Medical Image Computing Laboratory, Imperial College of Science, Technology and Medicine, London, United Kingdom.

Journal of Magnetic Resonance Imaging : JMRI
|October 27, 2004
PubMed
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A new respiratory reordered UNFOLD (RR-UNFOLD) sequence reduces k-space data for myocardial perfusion imaging. This method improves image quality by decreasing artifacts, enhancing diagnostic capabilities.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Cardiovascular Imaging
  • Medical Physics

Background:

  • High-resolution imaging is crucial for quantitative analysis of first-pass myocardial perfusion.
  • Existing MRI sequences are limited by hardware capabilities in reducing acquisition time.
  • Further advancements require more efficient k-space data utilization.

Purpose of the Study:

  • To introduce a novel respiratory reordered UNFOLD (RR-UNFOLD) imaging sequence.
  • To significantly decrease the k-space data needed for first-pass MR myocardial perfusion imaging.

Main Methods:

  • Prospective diaphragmatic navigator echoes for spatial registration and temporal filtering.
  • Adaptive real-time rebinning for respiratory motion-correlated image subseries.

Related Experiment Videos

  • Oversampling of central k-space to address temporal smoothing of kinetic signals.

    • Main Results:

    • RR-UNFOLD extends UNFOLD's applicability to perfusion imaging.
    • Achieved a 40% reduction in image artifact with equivalent k-space data.
    • Demonstrated feasibility in normal subjects and patients at rest.

    Conclusions:

    • The achieved scan efficiency enhances MR hardware capabilities.
    • Enables extended 3D spatial coverage and shorter acquisition windows.
    • Provides detailed information on regional myocardial perfusion abnormalities.