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Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
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Accurate two-dimensional cardiac strain calculation using adaptive windowed Fourier transform and Gabor wavelet

Y B Fu1, C K Chui, C L Teo

  • 1Department of Mechanical Engineering, National University of Singapore, Singapore, Singapore. g0800248@nus.edu.sg

International Journal of Computer Assisted Radiology and Surgery
|April 25, 2012
PubMed
Summary

A new adaptive windowed harmonic phase (AWHARP) method accurately calculates cardiac strain from MR images. This efficient technique improves detection of heart abnormalities like hypertrophic cardiomyopathy.

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Area of Science:

  • Cardiovascular Imaging
  • Biomedical Engineering
  • Medical Physics

Background:

  • Cardiac strain analysis from tagged MR images is crucial for identifying heart-wall motion abnormalities.
  • Efficient and accurate methods for cardiac strain calculation are needed for clinical applications.

Purpose of the Study:

  • To propose and evaluate an adaptive windowed harmonic phase (AWHARP) method for accurate and efficient cardiac strain calculation.
  • To compare AWHARP with the existing harmonic phase (HARP) method.

Main Methods:

  • AWHARP combines adaptive windowed Fourier transform (AWFT) and 2D Gabor wavelet transform (2D-GWT) for enhanced phase extraction.
  • Multi-resolution analysis is employed for precise phase extraction.
  • The method was validated using simulated and patient-derived tagged MR images (SPAMM and CSPAMM).

Main Results:

  • AWHARP demonstrated higher accuracy in phase and strain calculations compared to HARP, particularly with significant tag deformation.
  • Accuracy improvements reached up to 3.2 strain (E1).
  • Reduced end-systolic cardiac strain was observed in patients with hypertrophic cardiomyopathy (HCM).

Conclusions:

  • The AWHARP method provides an accurate and efficient approach for cardiac strain estimation from MR images.
  • This algorithm aids in the detection of left ventricle dysfunctions and myocardial diseases through precise cardiac strain analysis.