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Related Experiment Video

Updated: Jul 7, 2026

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
11:13

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging

Published on: May 24, 2021

Multiframe temporal estimation of cardiac nonrigid motion.

J C McEachen1, A Nehorai, J S Duncan

  • 1Dept. of Electr. and Comput. Eng., Naval Postgraduate Sch., Monterey, CA 93943, USA. mceachen@nps.navy.mil

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 8, 2008
PubMed
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A new system tracks nonrigid motion of the left ventricular (LV) endocardial wall in images. It uses adaptive filters and temporal models, with a simpler model offering excellent performance and lower computational cost.

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Computational Cardiology

Background:

  • Accurate tracking of left ventricular (LV) endocardial wall motion is crucial for diagnosing cardiac conditions.
  • Existing methods often struggle with nonrigid motion and require complex modeling across multiple image frames.

Purpose of the Study:

  • To develop a robust and flexible system for point-to-point nonrigid motion tracking of the LV endocardial wall in image sequences.
  • To enable modeling of motion trajectories across multiple frames for enhanced cardiac analysis.

Main Methods:

  • Developed an adaptive transversal filter based on the recursive least-squares algorithm.
  • Integrated models for periodicity and proximal smoothness using contour-based boundary descriptions.
  • Derived and analyzed frame-to-frame relationships using two multiframe temporal models (sum of sinusoids).

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Related Experiment Videos

Last Updated: Jul 7, 2026

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
11:13

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging

Published on: May 24, 2021

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

Main Results:

  • A multiframe temporal model without spatial periodicity constraints demonstrated excellent performance with minimal computational cost.
  • A multiframe spatiotemporal model achieved the best performance based on statistical standard deviation, but with higher computational expense.
  • System validation through comparison with physical markers implanted in the LV wall showed accurate trajectory estimation.

Conclusions:

  • The developed system provides a robust method for tracking nonrigid LV wall motion.
  • A simpler multiframe temporal model offers a computationally efficient solution with excellent performance.
  • Further research may explore optimizing the spatiotemporal model for improved performance-cost balance.