Key result
The proposed semiautomatic 3D reconstruction algorithms produced geometries with gaps requiring manual correction, and CFD simulations based on these models showed blood perfusion differences ranging from 3.03% to 372.96% compared to USG-Doppler data.
The proposed semiautomatic algorithms for 3D reconstruction of human aortic branches require further improvement and manual correction before they can be reliably used for CFD simulations of hemodynamics.
Semiautomatic aortic reconstruction needs manual correction for reliable CFD; leaves open validation of automated methods against Doppler benchmarks.
We aimed at the reconstruction of the branches of human aortic arch for blood perfusion analysis used later in the Computational Fluid Dynamic (CFD). The reconstruction was performed based on segmentation results obtained from CT data. Two segmentation algorithms, region growing and level set were implemented. Obtained binary segmentation results were next evaluated by the expert and corrected if needed. The final reconstruction was used for preparation of a numerical grid and for further calculation of blood hemodynamic. The collected data composed of blood velocity and blood flow rate in function of time were compared with USG-Doppler data. Results demonstrate that proposed algorithm may be useful for initial reconstruction of human cardiac system, however its accuracy needs to be improved as further manual corrections are still needed.
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Polańczyk et al. (2017) studied Vascular reconstruction (n=1). Semiautomatic 3D reconstruction algorithms (region growing and level set) vs. Commercial algorithm (3DDoctor) and USG-Doppler data was evaluated on Blood flow rate and velocity differences between CFD simulation and USG-Doppler. The proposed semiautomatic 3D reconstruction algorithms produced geometries with gaps requiring manual correction, and CFD simulations based on these models showed blood perfusion differences ranging from 3.03% to 372.96% compared to USG-Doppler data.
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