Why the study?
Most simulations of blood flow in cardiac arteries use static geometry due to difficulties in retrieving time-dependent vessel shapes and generating numerical meshes.
The proposed methodology enables the generation of time-dependent 3D shapes and numerical meshes from dynamic CT, improving the feasibility and efficiency of 4D CFD blood flow simulations in coronary arteries.
Enhances feasibility of 4D coronary CFD simulations; leaves open clinical validation before routine adoption.
Due to the difficulties in retrieving both the time-dependent shapes of the vessels and the generation of numerical meshes for such cases, most of the simulations of blood flow in the cardiac arteries use static geometry. The article describes a methodology for generating a sequence of time-dependent 3D shapes based on images of different resolutions and qualities acquired from ECG-gated coronary artery CT angiography. The precision of the shape restoration method has been validated using an independent technique. The original proposed approach also generates for each of the retrieved vessel shapes a numerical mesh of the same topology (connectivity matrix), greatly simplifying the CFD blood flow simulations. This feature is of significant importance in practical CFD simulations, as it gives the possibility of using the mesh-morphing utility, minimizing the computation time and the need of interpolation between boundary meshes at subsequent time instants. The developed technique can be applied to generate numerical meshes in arteries and other organs whose shapes change over time. It is applicable to medical images produced by other than angio-CT modalities.
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Psiuk-Maksymowicz et al. (2024) studied this question.
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