Abstract: An X-ray imaging method forms a set of a plurality of two-dimensional X-Ray projection images of a medical or veterinary object to be examined through a scanning rotation by an X-Ray source viz à viz the object. Such X-Ray images are acquired at respective predetermined time instants with respect to a functionality process produced by the object. From said set of X-Ray projection images by back-projection a three-dimensional volume image of the object is reconstructed. In particular, an appropriate motion correction is derived for the respective two-dimensional images, and subsequently as based on a motion vector field from the various corrected two-dimensional images the intended three-dimensional volume is reconstructed.

Abstract: The invention relates to a method for the 3D modeling of a three-dimensional tubular structure of an examination object from a number of 2D projection images (D) of the tubular structure (H) taken from different projection directions.

Abstract: The invention relates to a method for the computer-aided reconstruction of a three-dimensional anatomical object (3) from diagnostic image data. First of all, a diagnostic image data set of the object (3) is acquired. Then a seed point (5) is set, starting from which the object is reconstructed within a reconstruction volume (4). Thereafter, an adjacent point of the reconstruction volume (4) likewise belonging to the object (3) is located in accordance with a propagation criterion, which is calculated by means of a mathematical analysis of local areas (6, 7), assigned to the point concerned, of the image data set Reconstruction of the three-dimensional structure of the object (3) is then performed within the reconstruction volume (4) by multiple repetition of this method step and propagation along the located adjacent points.

Abstract: A method is provided for analysis of a multi-dimensional structure which includes a tubular structure from two-dimensional datasets for respective pre-determined projection directions. A pair of corresponding initial projected centre points of the tubular structure is identified in two respective initial and further two-dimensional datasets. Projected edges of the tubular structure in said initial two-dimensional datasets and in said further two-dimensional dataset near the respective projected centre points are identified. A local size of the tubular strucwur is derived at the three-dimensional spatial position of the centre point of the tubular structure from said projected edges and the predetermined projection directions.