Key result
Computer vision-based dynamic time warping scores of bioprosthetic heart valve leaflet motion showed good coherence with fluid dynamic simulations, enabling potential durability estimation.
Why the study?
More than 50% of bioprosthetic heart valves encounter structural failure within 15 years, motivating computer vision-based analyses of leaflet motion symmetry to help estimate durability.
Computer vision techniques analyzing leaflet motion symmetry show promise for estimating the durability of bioprosthetic heart valves.
Cautious interpretation warranted from animal data; leaves open clinical translation for predicting bioprosthetic valve durability.
This paper addresses bioprosthetic heart valve (BHV) durability estimation via computer vision (CV)-based analyses of the visual symmetry of valve leaflet motion. BHVs are routinely implanted in patients suffering from valvular heart diseases. Valve designs are rigorously tested using cardiovascular equipment, but once implanted, more than 50% of BHVs encounter a structural failure within 15 years. We investigate the correlation between the visual dynamic symmetry of BHV leaflets and the functional symmetry of the valves. We hypothesize that an asymmetry in the valve leaflet motion will generate an asymmetry in the flow patterns, resulting in added local stress and forces on some of the leaflets, which can accelerate the failure of the valve. We propose two different pair-wise leaflet symmetry scores based on the diagonals of orthogonal projection matrices (DOPM) and on dynamic time warping (DTW), computed from videos recorded during pulsatile flow tests. We compare the symmetry score profiles with those of fluid dynamic parameters (velocity and vorticity values) at the leaflet borders, obtained from valve-specific numerical simulations. Experiments on four cases that include three different tricuspid BHVs yielded promising results, with the DTW scores showing a good coherence with respect to the simulations. With a link between visual and functional symmetries established, this approach paves the way towards BHV durability estimation using CV techniques.
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Alizadeh et al. (2022) studied Valvular heart diseases (n=4). Computer vision-based analyses of visual symmetry (DOPM and DTW scores) vs. Fluid dynamic parameters from numerical simulations was evaluated on Correlation between visual dynamic symmetry of BHV leaflets and functional symmetry. Computer vision-based dynamic time warping scores of bioprosthetic heart valve leaflet motion showed good coherence with fluid dynamic simulations, enabling potential durability estimation.
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