文摘
In this paper a new scheme for automatic segmentation of the Aortic Valve in 3D computed tomography image sequences is presented. The algorithm is based on a new approach that uses a combination of Region Growing and Mathematical Morphology techniques in a hybrid framework. The output of the algorithm is used to assess the Aortic Valve Calcium Score in a new way that calculates the Agatston Score separately in both Sinuses and Leaflets, deriving a new index based on their ratios. Aortic Valve borders and leaflets identification is still a challenging task, and commonly based on intensive user interaction that limits its applicability. In this paper a fast and accurate model-free, automated method for segmenting and extracting morphological parameters with Score Calcium calculation is presented. Results of the proposed method are also provided showing a high correlation with the expected values.