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Abstract

Described is a method for assessing aortic valve calcification using contrast-enhanced CT. The method comprises: receiving CT images of the aortic valve; pre-processing received images to have a field of view focused on an aortic root corresponding to the aortic valve; implementing a fast-marching method for the pre-processed images to segment the aortic valve from surrounding tissue to generate an aortic root model; determining multiple principal axes and multiple landmark points based on the pre-processed images and the aortic root model to define a local coordinate system relative to leaflets of the aortic valve; generating a calcification model based on the pre-processed images and aortic root model by iteratively changing an initial estimate of calcific HU threshold until a minimum false positive rate FPR criterion is reached; and generating an indicator quantifying calcification of the aortic valve based on the calcification model, the principal axes and the landmark points.

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