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Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography
Published on: October 28, 2020
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Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI.
Y M Liew1, R A McLaughlin, B T Chan
1Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Physics in Medicine and Biology
|March 14, 2015
Summary
This study introduces a novel 3D left ventricle (LV) quantification method using motion correction to enhance cardiac function assessment reproducibility. The technique significantly reduces errors caused by motion artifacts, improving the reliability of key functional measures.
Area of Science:
- Cardiovascular Imaging
- Medical Physics
- Biomedical Engineering
Background:
- Cine MRI is standard for cardiac function assessment.
- Motion artifacts compromise the reproducibility of quantitative cardiac MRI.
- Accurate left ventricular (LV) quantification is crucial for diagnosing and managing cardiac diseases.
Purpose of the Study:
- To develop and assess a motion-corrected 3D LV quantification method.
- To improve the reproducibility of 3D LV functional measurements.
- To investigate the impact of image registration on cardiac function quantification accuracy.
Main Methods:
- Acquisition of multi-breath-hold short-axis and radial long-axis cine MRI images from 20 participants (10 patients, 10 healthy).
- Implementation of a framework incorporating multislice image registration into 3D model reconstruction for motion correction.
- Evaluation of registration parameter optimization, including cardiac time frames and number of long-axis slices.
Main Results:
- Reduced inter-slice misalignment to subpixel accuracy (2.88 to 1.21 mm).
- Improved interstudy reproducibility for end-diastolic volume, end-systolic volume, ejection fraction, myocardial mass, and 3D sphericity index.
- Demonstrated a 21-66% reduction in sample size needed to detect significant cardiac changes, indicating enhanced precision.
Conclusions:
- The proposed motion-corrected 3D LV quantification method significantly enhances reproducibility.
- Optimizing registration parameters, particularly the number of long-axis slices, improves accuracy, especially in cases with severe motion artifacts.
- This approach offers a more reliable tool for clinical assessment of cardiac function.
