SolidWorks Rendering of the experimental setup.
3D DIC of the tricuspid valve
Sequential stain map from a sample data set.
In-Vitro 3D DIC Measurement of Tricuspid Valve Mechanics
I developed a reproducible in-vitro method to quantify 3D deformation and strain of porcine tricuspid valves using stereoscopic digital image correlation (DIC). The approach integrates a custom speckling protocol, synchronized stereo imaging, and a full analysis pipeline from LaVision DaVis to MATLAB.
Methodology
Speckle Patterning - Developed a novel method to apply speckle patterning to hydrated tricuspid leaflets.
Test Setup - Mounted valves in a water-submerged fixture under calibrated stereo cameras.
Disease Model - Applied controlled annular dilations and pressurization to induce regurgitation.
Imaging - Captured synchronized stereo image sequences during loading.
Data Processing - Reconstructed 3D point clouds in LaVision DaVis and exported to MATLAB for strain analysis and visualization.
Key Contributions
Designed and built the experimental setup.
Conducted testing, managing all aspects from sample preparation, test execution, and data analysis.
Built the full data analysis pipeline from generate 3D strain maps from image sequences.
Impact
This setup provides a novel and repeatable method for quantifying 3D deformation and strain of in-vitro tricuspid valves under varying physiologic conditions, enabling improved understanding of valve mechanics and potential interventions.