Abstract: The present invention relates to an apparatus for generating an image of a moving object, wherein a movement of the object comprises a multiple of moving phases. The apparatus comprises a measured detection data providing unit (20) for providing measured detection data of the moving object, which have been detected by using a detection process and which are assigned to the moving phases. The apparatus comprises further a reconstruction unit (13) for reconstructing an image object of the object from the provided measured detection data and an adaptation unit (18) for adapting the image object for different moving phases such that simulated detection data are adapted to the measured detection data of the respective moving phase, wherein the simulated detection data are determined by simulating the detection process, which has been used for detecting the measured detection data assigned to the respective moving phase, with the image object.

Abstract: The present invention relates to an apparatus for generating an image of a moving object, wherein a movement of the object comprises a multiple of moving phases. The apparatus comprises a measured detection data providing unit (20) for providing measured detection data of the moving object, which have been detected by using a detection process and which are assigned to the moving phases. The apparatus comprises further a reconstruction unit (13) for reconstructing an image object of the object from the provided measured detection data and an adaptation unit (18) for adapting the image object for different moving phases such that simulated detection data are adapted to the measured detection data of the respective moving phase, wherein the simulated detection data are determined by simulating the detection process, which has been used for detecting the measured detection data assigned to the respective moving phase, with the image object.

Abstract: A system (900) and method for automatic projection-based removing of high-contrast artificial objects from a medical image is provided. The method comprises performing a low-pass filtering (1100) to the two-dimensional image (100, 500, 1000) using a filter width range (1110) corresponding to structures of a line-shaped artificial object to generate a low-pass filtered intensity image and performing an evaluation of the Hessian matrix of each pixels of the low-pass filtered intensity image for locating and enhancing the structure of the line-shaped artificial object to generate a multi-scale filtered intensity image, wherein predefined scaling widths are used in order to avoid the locating and enhancing of larger structures.

Abstract: A method and an apparatus for acquiring 3-dimensional images of coronary vessels (11), particularly of coronary veins, is proposed. 2-dimensional X-ray images (13) are acquired within a same phase of a cardiac motion. Then, a 3-dimensional centerline model (15) is generated based on these 2-dimensional images. From 2-dimensional projections of the centerline model into respective projection planes, the local diameters (w) of the vessels in the projection plane can be derived. Having the diameters, a 3-dimensional hull model of the vessel system can be generated and, optionally, 4-dimensional information about the vessel movement can be derived.

Abstract: A method for computer-aided four-dimensional (4D) modeling of an anatomical object comprises acquiring a set of three-dimensional (3D) models representing a plurality of static states of the object throughout a cycle. A 4D correspondency estimation is performed on the set of 3D models to determine which points of the 3D models most likely correspond to each other, wherein the 4D correspondency estimation includes one or more of (i) defining a reference phase, (ii) performing vessel-oriented correspondency estimation, and (iii) post-processing of 4D motion data. The method further comprises automatic 3D modeling with a front propagation algorithm.