Abstract: The invention relates to a method for determining an X-ray image dataset of a target region of an object to be examined, wherein projection images showing the target region are captured by means of an X-ray detector and the X-ray image dataset is reconstructed from the projection images, wherein a first portion of the projection images is captured so as to be collimated onto the target region by the target region being irradiated with X-ray radiation by means of an X-ray device through at least one main radiation opening of a collimator assembly. The invention also relates to a corresponding apparatus for determining an X-ray image dataset of a target region of the object to be examined. The invention generally relates to the field of medical X-ray imaging, in particular with the aim of acquiring projections for reconstructing 2D computed-tomography images.

Abstract: The invention relates to a medical imaging system which repeatedly irradiates a capturing area of a patient with a radiation and acquires data from the irradiated area of the patient and generates images from such acquired data, characterized in that the system is arranged for automatic adaptive adjustment of at least one parameter of the system influencing the image quality of the generated images dependent from the position, spatial orientation and/or type of an intervention tool which is introduced into the patient.

Abstract: A method and system are provided for determining a time-dependent, three-dimensional perfusion data set relating to the perfusion of at least one vessel and/or of tissue of an examination object. Projection images of the vessel and/or tissue are acquired in a plurality of recording geometries by an X-ray detector at a plurality of recording times in each case, which images describe detected intensities in a plurality of imaging regions of the X-ray detector. The perfusion data set is determined by associating a weighted sum of specified time-dependent base functions with each voxel of the perfusion data set.

Abstract: A method is provided for detecting a movement of a body between acquisition times of at least two acquisition data sets, wherein, for virtual sectional planes of the body, a first intermediate function value of attenuation values of all the body elements lying in the sectional plane is determined based on a first acquisition data set, and a second intermediate function value of the attenuation values is determined based on a second acquisition data set. For each sectional plane, a difference value is determined from the intermediate function values. A total error value for the two acquisition data sets is calculated by combining the difference values of all the sectional planes. The virtual sectional planes have a common line of intersection, and for the particular acquisition time, the difference between pairs of the sectional lines is at least one pixel.

Abstract: A method and system are provided for determining a time-dependent, three-dimensional perfusion data set relating to the perfusion of at least one vessel and/or of tissue of an examination object. Projection images of the vessel and/or tissue are acquired in a plurality of recording geometries by an X-ray detector at a plurality of recording times in each case, which images describe detected intensities in a plurality of imaging regions of the X-ray detector. The perfusion data set is determined by associating a weighted sum of specified time-dependent base functions with each voxel of the perfusion data set.

Abstract: A method is provided for detecting a movement of a body between acquisition times of at least two acquisition data sets, wherein, for virtual sectional planes of the body, a first intermediate function value of attenuation values of all the body elements lying in the sectional plane is determined based on a first acquisition data set, and a second intermediate function value of the attenuation values is determined based on a second acquisition data set. For each sectional plane, a difference value is determined from the intermediate function values. A total error value for the two acquisition data sets is calculated by combining the difference values of all the sectional planes. The virtual sectional planes have a common line of intersection, and for the particular acquisition time, the difference between pairs of the sectional lines is at least one pixel.