Abstract: The present invention relates to a device 10 for automatically identifying a part 20a, 20b of an anatomy structure comprising several parts 20a, 20b, in which anatomy structure an intervention device 21 resides. The device 10 comprises a feature extraction unit 11 and an anatomy part classification unit 13. The feature extraction unit 11 uses provided image content data ICD to extract at least one characterizing feature DS of the appearance of 10 the intervention device 21. The anatomy part classification unit 13 correlates the at least one characterizing feature DS with provided classifier data CD which are characteristic for a projection feature of the intervention device 21 viewed under certain geometry of an imaging system 30. After correlating, the anatomy part classification unit 13 determines in which part 20a, 20b of the anatomy structure comprising several parts 20a, 20b the intervention device 2115 is located.

Abstract: The present invention relates to automatic absorption means positioning in X-ray image acquisition. To improve image quality and to optimize the radiation exposure of an object, optimal position for X-ray absorption means is provided. A first sequence (113) of X-ray images is acquired (112). For each of the images, the optimal position (115) for X-ray absorption means is determined (114). A second sequence (117) of X-ray images is associated 10 (116) with corresponding images of the first sequence. The determined optimal position for the absorption means (14) of the associated corresponding images of the first sequence (113) is selected for an acquisition of the second sequence (117). Hence, a situation-specific database with optimized positions for the absorption means is generated on behalf of the first sequence in order to provide the generated position information for the actual acquisition of a 15 second sequence of images.

Abstract: A system and method is described by which so-called standard angiographic views can be generated using a 3-or 4-D reconstructed image of the object of interest. One preferred example is the reconstruction of coronary angiograms from rotational angiography sequences. Once the 3D image is created, it can be forward projected into the user-defined “standard” views for live presentation during the procedure. It is anticipated that these standard views, which more closely mimic what a physician is accustomed to see, will be more readily accepted by the interventional community.

Abstract: The present invention relates to automatic absorption means positioning in X-ray image acquisition. To improve image quality and to optimize the radiation exposure of an object, optimal position for X-ray absorption means is provided. A first sequence (113) of X-ray images is acquired (112). For each of the images, the optimal position (115) for X-ray absorption means is determined (114). A second sequence (117) of X-ray images is associated 10 (116) with corresponding images of the first sequence. The determined optimal position for the absorption means (14) of the associated corresponding images of the first sequence (113) is selected for an acquisition of the second sequence (117). Hence, a situation-specific database with optimized positions for the absorption means is generated on behalf of the first sequence in order to provide the generated position information for the actual acquisition of a 15 second sequence of images.

Abstract: The present invention relates to a device 10 for automatically identifying a part 20a, 20b of an anatomy structure comprising several parts 20a, 20b, in which anatomy structure an intervention device 21 resides. The device 10 comprises a feature extraction unit 11 and an anatomy part classification unit 13. The feature extraction unit 11 uses provided image content data ICD to extract at least one characterizing feature DS of the appearance of 10 the intervention device 21. The anatomy part classification unit 13 correlates the at least one characterizing feature DS with provided classifier data CD which are characteristic for a projection feature of the intervention device 21 viewed under certain geometry of an imaging system 30. After correlating, the anatomy part classification unit 13 determines in which part 20a, 20b of the anatomy structure comprising several parts 20a, 20b the intervention device 2115 is located.