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Cardiac 3D Motion Reconstruction Using Dual-Camera Defocused Speckle Imaging With Multi-Scale Amplification
Insights
This study introduces a novel dual-camera imaging technique to accurately capture cardiac 3D motion, decoupling linear (SCG) and rotational (GCG) components for improved diagnosis and assessment.
Area of Science:
- Biomedical Engineering
- Cardiovascular Imaging
- Medical Physics
Background:
- Cardiovascular diseases are a leading global cause of mortality.
- Accurate assessment of cardiac motion is vital for diagnosis and rehabilitation.
- Existing single-camera methods struggle with motion coupling, limiting 3D cardiac behavior characterization.
Purpose of the Study:
- To develop a non-contact method for decoupling and reconstructing cardiac linear vibration (SCG) and rotational components (GCGx, GCGy).
- To overcome motion coupling issues inherent in single-camera imaging.
- To enhance the accuracy of characterizing complex 3D cardiac mechanical behavior.
Main Methods:
- Utilized dual-camera imaging with varying defocus levels to capture speckle motion signals.
- Integrated signals to decouple and reconstruct SCG, GCGx, and GCGy.
- Employed a sternum-mounted inertial sensor as a reference for validation in 42 subjects.
Main Results:
- Reconstructed 3D cardiac motion signals showed >87.471% waveform similarity to reference signals.
- Achieved high localization accuracy for key biomarkers (e.g., 99.998% for mitral valve closing) within an 8 ms error tolerance.
- Performance surpassed that of raw speckle motion signals from a single camera.
Conclusions:
- Dual-camera imaging with different defocus levels effectively reconstructs SCG, GCGx, and GCGy.
- This novel approach offers a promising method for accurate cardiac 3D motion capture.
- The technique can significantly improve cardiac function assessment for diagnosis and rehabilitation.
Abstract:
Cardiovascular diseases are one of the leading causes of death worldwide. Accurately capturing and analyzing the multidimensional dynamics of cardiac motion is crucial for early diagnosis and rehabilitation assessment. This study introduces a novel concept for non-contact cardiac linear vibration (SCG) and rotational components (GCGx and GCGy) decoupling and reconstruction by integrating speckle motion signals captured from two cameras with different defocus levels. The intention is to overcome the motion coupling issues inherent in single-camera imaging and improve the accuracy in characterizing the cardiac complex 3D mechanical behavior. Using a sternum-mounted inertial sensor as the reference, experiments were conducted on 42 subjects in laboratory and intensive care unit settings. The results show that the reconstructed cardiac 3D motion signals exhibit greater waveform similarity to the reference signal than the raw speckle motion signal from a single camera, with similarity indices above 87.471%. In addition, with an 8 ms tolerance error, the localization accuracy of 6 key biomarkers (aortic valve opening/closing (AO/AC), mitral valve opening/closing (MO/MC), the biomarkers corresponding to the AO event in GCGy and the MC event in GCGx) are 73.080%, 99.998%, 85.587%, 86.617%, 99.683% and 77.301%, respectively. These results also outperform those obtained from the raw speckle motion signal. These findings validate the rationale and effectiveness of using dual-camera imaging with different defocus levels to reconstruct SCG, GCGx, and GCGy, offering a promising approach for accurately capturing complex cardiac 3D motion and improving cardiac function assessment.
