1. A method for automated detection of at least one part of a central line of at least one portion of a tubular tissue structure of a current patient under examination, the method comprising: detecting, by a computer processor, characteristic landmarks of the tubular tissue structure in a 3D data record of the tubular tissue structure; identifying, by the computer processor, a set of anatomical landmarks of the at least one portion of the tubular tissue structure in the 3D data record based on a registration of the detected characteristic landmarks of the tubular tissue structure and landmarks of a model of landmarks, the identifying including, performing an affine transformation to register the characteristic landmarks and the model of the landmarks, and anatomically identifying each of the characteristic landmarks with a corresponding one of the landmarks of the model of landmarks such that each of the characteristic landmarks has a corresponding anatomical identification associated therewith, wherein the model of landmarks, is designed with respect to a build or physique of an average person, is scalable to fit a size of the current patient so that the landmarks of the model of landmarks indicate a usual spatial position or arrangement of parts of the tubular tissue structure, and is in the form of a knowledge base stored in a storage device; determining, by the computer processor, the central line of the at least one portion of the tubular tissue structure, at least in part, on a basis of a path-finding operation that uses the identified set of anatomical landmarks; and displaying, on a visualization instrument, a curved multiplanar reconstruction (CPR) of the at least one portion of the tubular tissue structure generated by the computer processor based on the central line thereof.