1. A method for detecting coronary stenosis through spatio-temporal tracking comprising: extracting a coronary artery tree from each of a sequence of angiogram images obtained from a patient; creating a mean artery tree from the extracted coronary artery trees by aligning the extracted artery trees from each angiogram image in the sequence of angiogram images and calculating a displacement field for each image in the sequence of angiogram images with respect to a reference image of the sequence of angiogram images; projecting the mean artery tree back onto each of the sequence of angiogram images to recover a complete coronary artery tree for each of the sequence of angiogram images; extracting one or more tubular sections from each of the sequence of angiogram images, wherein extracting the coronary artery tree from each of the sequence of angiogram images comprises filtering each angiogram image using RLF filtering; estimating an arterial width for each of the one or more tubular sections from each of the sequence of angiogram images; creating a spatio-temporal surface from the arterial widths of the one or more tubular sections over a time spanned by the sequence of angiogram images; detecting a minimum in the spatio-temporal surface; and determining if the minimum is indicative of stenosis.