A robustness test of the Braided Device Foreshortening algorithm

R. KALE; H. FERNANDEZ; J. M. MACHO; J. BLASCO; L. SAN ROMAN; NARATA, A.P.; I. LARRABIDE

Simposio; SIPAIM 2017; 2017

Different computational methods have been recently proposed to simulate the virtual deployment of abraided stent inside a patient vasculature. Those methods are primarily based on the segmentation of the region ofinterest to obtain the local vessel morphology descriptors. The goal of this work is to evaluate the influence of thesegmentation quality on the method named "Braided Device Foreshortening" (BDF).Methods We used the 3DRA images of 10 aneurysmatic patients (cases). The cases were segmented by applying amarching cubes algorithm with a broad range of thresholds in order to generate 10 surface models each. We selecteda braided device to apply the BDF algorithm to each surface model. The range of the computed flow diverter lengthsfor each case was obtained to calculate the variability of the method against the threshold segmentation values.Results. An evaluation study over 10 clinical cases indicates that the final length of the deployed flow diverter in eachvessel model is stable, shielding maximum difference of 11.19% in vessel diameter and maximum of 9.14% in thesimulated stent length for the threshold values. The average coefficient of variation was found to be 4.08 %.Conclusion A study evaluating how the threshold segmentation affects the simulated length of the deployed FD, waspresented. The segmentation algorithm used to segment intracranial aneurysm 3D angiography images presents smallvariation in the resulting stent simulation.