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Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
Published on: October 28, 2020
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Right ventricular strain analysis from three-dimensional echocardiography by using temporally diffeomorphic motion
Zhijun Zhang1, Meihua Zhu2, Muhammad Ashraf2
1Department of Biomedical Engineering, Oregon Health and Science University, Portland, Oregon 97239.
Medical Physics
|December 5, 2014
Summary
Accurate right ventricle (RV) motion estimation is crucial for understanding heart diseases. This study introduces a novel method for precise RV strain analysis using 3D echocardiography, showing high accuracy and potential for clinical applications.
Area of Science:
- Cardiovascular Imaging
- Biomedical Engineering
- Medical Image Analysis
Background:
- Quantitative analysis of right ventricle (RV) motion is vital for studying congenital and acquired heart diseases.
- RV motion estimation is challenging due to its complex shape and thin myocardium, unlike the left ventricle (LV).
- Existing methods like finite element models and speckle tracking lack temporal smoothness considerations for RV strain analysis.
Purpose of the Study:
- To develop and validate a temporally diffeomorphic motion estimation method for accurate RV strain analysis.
- To assess the feasibility of using this method with 3D echocardiography for RV function studies.
- To explore the potential utility of the method in the study of RV diseases.
Main Methods:
- Proposed a fully automatic, temporally diffeomorphic motion estimation method based on optimizing a velocity field's registration energy functional.
- Combined the motion estimation technique with a semi-automatic myocardium segmentation method.
- Applied the combined method to analyze RV strain in 3D echocardiographic sequences from five open-chest pigs under various steady states.
Main Results:
- Peak two-point strains derived from the proposed method showed high correlation with sonomicrometry measurements.
- Segmental strain analysis of the RV free wall demonstrated consistency with MRI findings at baseline.
- In pacing steady states, the largest strain variations localized to pacing sites, indicating method sensitivity.
Conclusions:
- The high correlation with sonomicrometry confirms the accuracy of the proposed RV motion estimation method.
- The method's agreement with MRI data validates its feasibility for RV function assessment using 3D echocardiography.
- Strain analysis of pacing states highlights the method's potential utility for investigating RV diseases.

