Abstract
A tracking algorithm is presented that extracts line features for use with a 3D reconstruction of blood vessels of the brain. The result is not only a segmented blood vessel tree but also a line intensity measure, and moreover directions, center lines and diameters are calculated. The algorithm consists of four modules. The first module is a star-shaped prefilter whose result are directions and amplitudes of prospective line structures at each point of the input image. These features are input to a connectivity module that connects neighbouring pixels with similar properties by vectors. The next module tracks the lines along the vectors as long as particular continuity rules are fulfilled and calculates a line intensity measure. Based only on the directions and intensities the fourth module extracts structural information such as the line diameters and the center lines very fast. The only input parameter of the algorithm is the minimum contrast of the lines to be detected.
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