1. A method for processing at least one tubular object in a multi-dimensional image, comprising: establishing a seed point in a multi-dimensional image; searching for an extremum point corresponding to a tubular object having a central curve of intensity extrema; and extracting: a) a one-dimensional central track corresponding to the tubular object, and b) extents corresponding to a plurality of cross-sections along the tubular object, wherein the plurality of cross-sections intersects the one-dimensional central track.