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Improvement in the quantification of myocardial perfusion using an automatic spline-based registration algorithm.

Christophe Dornier1, Marko K Ivancevic, Philippe Thévenaz

  • 1Digital Imaging Unit, Radiology Department, Geneva University Hospital, Geneva, Switzerland. christophe.dornier@dim.hcuge.ch

Journal of Magnetic Resonance Imaging : JMRI
|July 29, 2003
PubMed
Summary

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This study presents an automatic motion correction technique for dynamic cardiac MRI, significantly improving myocardial perfusion quantification. The method enhances accuracy for key perfusion parameters like K1 and Vd.

Area of Science:

  • Cardiovascular Imaging
  • Medical Physics
  • Radiology

Background:

  • Quantifying myocardial perfusion with dynamic contrast-enhanced MRI is crucial for diagnosing cardiac conditions.
  • Image motion during acquisition can lead to inaccurate perfusion measurements.
  • Accurate registration of cardiac MR images is essential for reliable analysis.

Purpose of the Study:

  • To develop and evaluate an automatic motion correction method for dynamic myocardial perfusion MRI.
  • To improve the accuracy of myocardial perfusion quantification using gadolinium contrast agents.
  • To reduce variability in perfusion parameter estimation.

Main Methods:

  • Eight patients underwent myocardial perfusion MRI with two short-axis left ventricle (LV) views.

Related Experiment Videos

  • An automatic spatial registration algorithm based on pixel intensity and a multi-resolution scheme was employed.
  • The method's efficacy was assessed by measuring residual LV displacement and fitting data to a two-parameter compartment model (K1, Vd).

    • Main Results:

    • Automatic registration reduced LV motion from 1.98 +/- 0.68 mm to 0.56 +/- 0.18 mm.
    • Variability in the K1 parameter decreased from 46 +/- 103% to 5 +/- 4%.
    • Variability in the Vd parameter decreased from 18 +/- 21% to 5 +/- 5%.

    Conclusions:

    • Automatic motion correction provides accurate myocardial perfusion parameters in dynamic cardiac MRI.
    • This automated approach simplifies the process compared to manual correction, requiring only one mask.
    • The technique enhances the reliability and efficiency of quantitative myocardial perfusion analysis.