Abstract: A method for movement compensation during CT reconstruction, comprises calculating slice images. The calculating slice images comprising: selecting an initial movement state; calculating a reference voxel position in relation to the initial movement state; calculating a column image position of a voxel; ascertaining a changed movement state of the voxel at the column image position; calculating a changed voxel position in relation to the changed movement state; calculating a changed image position of the voxel; and using an image value of the intermediate image at the changed image position for back projection to calculate the slice images.

Abstract: A method for the artifact correction of three-dimensional volume image data of an object is disclosed. In an embodiment, the method includes receiving first volume image data via a first interface, the first volume image data being based on projection measurement data acquired via a computed tomography device, the computed tomography device including a system axis, and the first volume image data including an artifact including high-frequency first portions in a direction of a system axis and including second portions, being low-frequency relative to the high-frequency first portions, in a plane perpendicular to the system axis; ascertaining, via a computing unit, artifact-corrected second volume image data by applying a trained function to the first volume image data received; and outputting the artifact-corrected second volume image data via a second interface.

Abstract: A method is for generating image data of an examination object via a computed tomography system including a data processing unit; an X-ray radiation source and an X-ray radiation detector suspended on a support and mounted to be rotatable about a z-axis; and an examination table for supporting the examination object and a reference object arranged in a fixed position relative to the examination table. The method includes generating a raw data set by displacing the X-ray radiation source and the X-ray radiation detector relative to the examination object. During generation of the raw data set, at least one part of the examination object is sampled together with at least one part of the reference object. The sampling of the at least one part of the reference object is used to compensate at least in part for the influence of movement errors during the displacement.

Abstract: A method is for the reconstruction of an image data set from projection images of an examination object recorded at different projection directions with a computed tomography apparatus. In an embodiment, the method includes establishing an item of contour information describing a contour of at least one of the examination object and the additional object; enhancing projection data of the projection images via forward projection in regions in which at least one of the examination object and the additional object was not acquired; and reconstructing the image data set based upon the projection data enhanced. The examination object and the additional object are acquired from sensor data of at least one camera. Finally, an item of sensor information at least partially describing at least one of the is of the examination object and of the additional object being established and used for establishing the contour information.

Abstract: A method is for generating image data of an examination object via a computed tomography system including a data processing unit; an X-ray radiation source and an X-ray radiation detector suspended on a support and mounted to be rotatable about a z-axis; and an examination table for supporting the examination object and a reference object arranged in a fixed position relative to the examination table. The method includes generating a raw data set by displacing the X-ray radiation source and the X-ray radiation detector relative to the examination object. During generation of the raw data set, at least one part of the examination object is sampled together with at least one part of the reference object. The sampling of the at least one part of the reference object is used to compensate at least in part for the influence of movement errors during the displacement.

Abstract: A method for the artifact correction of three-dimensional volume image data of an object is disclosed. In an embodiment, the method includes receiving first volume image data via a first interface, the first volume image data being based on projection measurement data acquired via a computed tomography device, the computed tomography device including a system axis, and the first volume image data including an artifact including high-frequency first portions in a direction of a system axis and including second portions, being low-frequency relative to the high-frequency first portions, in a plane perpendicular to the system axis; ascertaining, via a computing unit, artifact-corrected second volume image data by applying a trained function to the first volume image data received; and outputting the artifact-corrected second volume image data via a second interface.

Abstract: A method is for the reconstruction of an image data set from projection images of an examination object recorded at different projection directions with a computed tomography apparatus. In an embodiment, the method includes establishing an item of contour information describing a contour of at least one of the examination object and the additional object; enhancing projection data of the projection images via forward projection in regions in which at least one of the examination object and the additional object was not acquired; and reconstructing the image data set based upon the projection data enhanced. The examination object and the additional object are acquired from sensor data of at least one camera. Finally, an item of sensor information at least partially describing at least one of the is of the examination object and of the additional object being established and used for establishing the contour information.

Abstract: A multi-spectral CT imaging method, preferably a CT imaging method, is described. Spectrally resolved projection scan data is acquired from a region to be imaged of an examination object. The data is assigned to a plurality of pre-determined different partial spectra. Spectrally resolved image data is reconstructed with a plurality of attenuation values for each image point of the region to be imaged. The attenuation values are each assigned to one of the pre-determined different partial spectra. Furthermore, an extremal attenuation value is determined for each image point on the basis of the plurality of attenuation values. A representative image data set is determined such that the determined extremal attenuation value is assigned to each image point.

Abstract: A method is for imaging a region of interest of an object to be examined based on projection measurement data recorded during a rotational movement of an X-ray source-detector system around the object to be examined in a first angular sector of at least 180° . In an embodiment, the method includes generating first start-image data; selecting partial projection measurement data with a second angular sector from the projection measurement data, the second angular sector being a subregion of the first angular sector; comparing the first start-image data generated, or corrected start-image data, with the partial projection measurement data, and generating first image data based upon the comparing; and artifact correcting the first image data via a trained correction unit, to create the corrected start-image data, the first image data and the corrected start-image data each respectively comprising a substantially complete image of the region of interest.

Abstract: A method for reconstructing image data during CT imaging is described. In the method, a plurality of independent data records of projection measured data are captured. A combined data record is then determined based on the captured data records. In addition, morphological information is determined based on the combined data record. A target data record is also determined based on the captured independent data records. A target image data record is reconstructed based on the target data record and the determined morphological information. An image data determination facility and a computed tomography system are also described.

Abstract: A method and calculation unit are disclosed for reconstructing an image from measured projection data. In an embodiment, the method includes reconstructing an initial image from the projection data via back-projection; dividing the initial image into contiguous blocks of voxels; defining groups of voxels, wherein each group is defined by selecting one voxel from each block, each voxel having the same position relative to the other voxels within its block; updating the voxel values for all voxels within one group by minimizing a function consisting of a weighted sum of a first term representing the geometry of the data acquisition process, and a second regularization term; and repeating the updating of the voxel values for all voxels within one group until all groups have been updated at least once.

Abstract: A method is disclosed for the reconstruction of image data of an object under examination from measured data, wherein the measured data has been acquired during a relative rotational movement between a radiation source of a computed tomography system and the object under examination. A delimited area between the radiation source and a detector represents a field of view, in respect of which measured data can be acquired. During the measured data acquisition, parts of the object under examination were located at least partly outside of the field of view. A reconstruction is carried out of first image data from the measured data. The first image data is modified via a threshold value comparison, and the modified data is processed with a morphological filter, and projection data is calculated. The measured data is modified using the projection data, and, second image data is reconstructed.

Abstract: A multi-spectral CT imaging method, preferably a CT imaging method, is described. Spectrally resolved projection scan data is acquired from a region to be imaged of an examination object. The data is assigned to a plurality of pre-determined different partial spectra. Spectrally resolved image data is reconstructed with a plurality of attenuation values for each image point of the region to be imaged. The attenuation values are each assigned to one of the pre-determined different partial spectra. Furthermore, an extremal attenuation value is determined for each image point on the basis of the plurality of attenuation values. A representative image data set is determined such that the determined extremal attenuation value is assigned to each image point.

Abstract: A method for reconstructing image data during CT imaging is described. In the method, a plurality of independent data records of projection measured data are captured. A combined data record is then determined based on the captured data records. In addition, morphological information is determined based on the combined data record. A target data record is also determined based on the captured independent data records. A target image data record is reconstructed based on the target data record and the determined morphological information. An image data determination facility and a computed tomography system are also described.

Abstract: A method and calculation unit are disclosed for reconstructing an image from measured projection data. In an embodiment, the method includes reconstructing an initial image from the projection data via back-projection; dividing the initial image into contiguous blocks of voxels; defining groups of voxels, wherein each group is defined by selecting one voxel from each block, each voxel having the same position relative to the other voxels within its block; updating the voxel values for all voxels within one group by minimizing a function consisting of a weighted sum of a first term representing the geometry of the data acquisition process, and a second regularization term; and repeating the updating of the voxel values for all voxels within one group until all groups have been updated at least once.

Abstract: A method is disclosed for the reconstruction of image data of an examination object from measurement data. First and second image data are reconstructed from the measurement data with a first and second respective image characteristic, with an enhanced signal-to-noise ratio of the second image characteristic relative to the first image characteristic. Enhanced image data is calculated using an iterative algorithm using the first and the second image data. In the case of the iterative algorithm, a low pass is applied to a difference between the first image data and the image data of an iteration cycle, and a high pass to a difference between the second image data and the image data of the iteration cycle.

Abstract: A method is disclosed for the reconstruction of image data of a moving object to be examined from measurement data, wherein the measurement data has previously been established in a relative rotational movement between a radiation source of a computed tomography system and the object to be examined. In at least one embodiment, first image data is reconstructed from an incomplete measurement data record by way of an iterative algorithm, wherein in the iterative reconstruction a dimension is used which contains probability information relating to pixel values of the image data to be reconstructed.

Abstract: A method and computer system are disclosed with software for artifact reduction in CT image datasets for spiral scans from a CT system with an inclined gantry. In at least one embodiment, for each of at least two positions of the center of rotation, which is moved during the spiral scan, the removal of annular artifacts is carried out around these positions, during which the position concerned is used as the center point of the annular artifacts to be removed.

Abstract: A method is disclosed for the reconstruction of image data of an object under examination from measured data, wherein the measured data has been acquired during a relative rotational movement between a radiation source of a computed tomography system and the object under examination. A delimited area between the radiation source and a detector represents a field of view, in respect of which measured data can be acquired. During the measured data acquisition, parts of the object under examination were located at least partly outside of the field of view. A reconstruction is carried out of first image data from the measured data. The first image data is modified via a threshold value comparison, and the modified data is processed with a morphological filter, and projection data is calculated. The measured data is modified using the projection data, and, second image data is reconstructed.

Abstract: A method is disclosed for the reconstruction of picture data of a moving object under examination from measurement, with the measurement data having been recorded beforehand for a relative rotational movement between a radiation source of a computed tomography system and the object under examination. In at least one embodiment, first picture data is computed from a complete measurement dataset of the measurement data for a picture reconstruction, and second picture data is computed from an incomplete measurement dataset for a computed tomography picture reconstruction. The first picture data and the second picture data are combined into third picture data, with the combination being computed using location-dependent movement information of the object under examination.