Validation of AI-Based Carotid Artery Wall Segmentation

In the Carotid Artery Vessel Wall Segmentation Challenge, we have been able to evaluate our method on 26 patients. Evaluating this method in the CCB would provide valuable information about its performance in a large-scale real-world dataset and would allow automatic biomarker extraction in the CCB. The objectives are to perform a quantitative analysis of our prize-winning carotid artery wall segmentation algorithm in a large-scale real-world cohort and to obtain a large set of segmented 3D carotid arteries that can be used to extract biomarkers and develop population-based atlases of carotid bifurcation shapes and plaque deposition.