Abstract: An imaging device and a method for generating a motion-compensated image or video are provided. The imaging device has a data acquisition facility for acquiring image data of a target object. The imaging device is configured to acquire, using a registration facility, a posture of an inertial measurement unit and, on the basis thereof, to carry out a registration between coordinate systems of the inertial measurement unit and the image data. The imaging device is further configured to acquire motion data from the inertial measurement unit arranged on the target object and, by processing the motion data, to generate the motion-compensated image or video.

Abstract: The disclosure relates to a method and an imaging device for generating a motion-compensated image of a target object. The disclosure further relates to a corresponding computer program and a computer-readable storage medium. In the method, a reference image is generated from projection images of a target object. Furthermore, a motion field which characterizes a motion of the target object shown is determined iteratively. In each case, after a predetermined number of iterative acts, the existing reference image is replaced by a provisional motion-compensated image, which is then used for the further iteration. The initial reference image is generated without using a synchronization or gating-signal that characterizes a motion of the target object.

Abstract: Systems and methods are provided for reconstructing a three-dimensional result image data set from computed tomography from a plurality of two-dimensional images that create an image of an object undergoing examination from a particular imaging angle, The imaging angles of all the images lie within a restricted angular range. A three-dimensional artifact-reduced image data set is provided based on the two-dimensional images using an algorithm for reducing artifacts that are the result of a restriction of the angular range. The result image data set is reconstructed using a reconstruction algorithm that processes both the artifact-reduced image data set and the two-dimensional images as input data.

Abstract: A method for operating a medical imaging apparatus includes acquiring an intensity distribution of an X-ray radiation by a first X-ray detector assigned to a first radiation source. A scattered radiation distribution of scattered radiation generated at the object is acquired by a second X-ray detector. A spatial distribution for the component of the scattered radiation is estimated based on the scattered radiation distribution acquired by the second X-ray detector. An intensity distribution of the component of the transmitted primary X-ray radiation is determined from the intensity distribution acquired by the first X-ray detector depending on the estimated spatial distribution.

Abstract: A method and system are provided for at least symbolically reconstructing a reconstruction data set of at least one vessel segment in a vessel tree of a patient. Input data for the reconstruction comprises at least two two-dimensional angiographic projection images taken in different acquisition geometries. At least one first angiographic projection image showing the vessel segment is acquired. An evaluation measure is automatically determined for each first angiographic projection image using three-dimensional preliminary information for the vessel segment. The evaluation measure describes the suitability of the at least one angiographic projection image for reconstructing the reconstruction data set. When a quality criterion evaluating the evaluation measure is not fulfilled, at least one additional acquisition geometry is determined using the three-dimensional preliminary information and/or the evaluation measure.

Abstract: An imaging device and a method for generating a motion-compensated image or video are provided. The imaging device has a data acquisition facility for acquiring image data of a target object. The imaging device is configured to acquire, using a registration facility, a posture of an inertial measurement unit and, on the basis thereof, to carry out a registration between coordinate systems of the inertial measurement unit and the image data. The imaging device is further configured to acquire motion data from the inertial measurement unit arranged on the target object and, by processing the motion data, to generate the motion-compensated image or video.

Abstract: The disclosure relates to a method and an imaging device for generating a motion-compensated image of a target object. The disclosure further relates to a corresponding computer program and a computer-readable storage medium. In the method, a reference image is generated from projection images of a target object. Furthermore, a motion field which characterizes a motion of the target object shown is determined iteratively. In each case, after a predetermined number of iterative acts, the existing reference image is replaced by a provisional motion-compensated image, which is then used for the further iteration. The initial reference image is generated without using a synchronization or gating-signal that characterizes a motion of the target object.

Abstract: Systems and methods are provided for reconstructing a three-dimensional result image data set from computed tomography from a plurality of two-dimensional images that create an image of an object undergoing examination from a particular imaging angle, The imaging angles of all the images lie within a restricted angular range. A three-dimensional artifact-reduced image data set is provided based on the two-dimensional images using an algorithm for reducing artifacts that are the result of a restriction of the angular range. The result image data set is reconstructed using a reconstruction algorithm that processes both the artifact-reduced image data set and the two-dimensional images as input data.

Abstract: A tomography system with a beam source and a detector that is adapted to carry out a scan. While the beam source is guided along a circular or helical first trajectory about an orbital axis, a rectangular sensor surface of the detector is guided at a distance from the beam source along a circular or helical second trajectory about the orbital axis. During the scan, a yaw angle between a perpendicular bisector of the sensor surface and the plane of rotation in which the beam source is currently located has a value of greater than 0° and simultaneously smaller than 90°.

Abstract: A tomography installation is configured to carry out a first scan along a first helix-segment-shaped trajectory section and to carry out a second scan along a second helix-segment-shaped trajectory section. A first data set is obtained during the first scan, and a second data set is obtained during the second scan. Taken by themselves in each case, both the first data set and the second data set are too incomplete for a reconstruction of a volume image without a partial revolution artifact. From the two data sets, a fused three- or four-dimensional data set is generated that is sufficiently complete for a reconstruction of a volume image without a partial revolution artifact.

Abstract: Reconstructing 3-D vessel geometry of a vessel includes: receiving a plurality of 2-D rotational X-ray images of the vessel; extracting vessel centerline points for normal cross sections of each of the plurality of 2-D images; establishing a correspondence of the centerline points from a registration of the centerline points with a computed tomography (CT) 3-D centerline, the registration being an affine or deformable transformation; constructing a 3-D centerline vessel tree skeleton of the vessel from the centerline points of the 2-D images; constructing an initial 3-D vessel surface having a uniform radius normal to the 3-D centerline vessel tree skeleton; defining sample points based sampling on median radii to the 3-D centerline vessel tree skeleton of the initial 3-D vessel surface; and constructing a target 3-D vessel surface by deforming the initial vessel surface using the sample points to provide a reconstructed 3-D vessel geometry of the vessel.

Abstract: A method and system are provided for at least symbolically reconstructing a reconstruction data set of at least one vessel segment in a vessel tree of a patient. Input data for the reconstruction comprises at least two two-dimensional angiographic projection images taken in different acquisition geometries. At least one first angiographic projection image showing the vessel segment is acquired. An evaluation measure is automatically determined for each first angiographic projection image using three-dimensional preliminary information for the vessel segment. The evaluation measure describes the suitability of the at least one angiographic projection image for reconstructing the reconstruction data set. When a quality criterion evaluating the evaluation measure is not fulfilled, at least one additional acquisition geometry is determined using the three-dimensional preliminary information and/or the evaluation measure.

Abstract: A method for operating a medical imaging apparatus includes acquiring an intensity distribution of an X-ray radiation by a first X-ray detector assigned to a first radiation source. A scattered radiation distribution of scattered radiation generated at the object is acquired by a second X-ray detector. A spatial distribution for the component of the scattered radiation is estimated based on the scattered radiation distribution acquired by the second X-ray detector. An intensity distribution of the component of the transmitted primary X-ray radiation is determined from the intensity distribution acquired by the first X-ray detector depending on the estimated spatial distribution.

Abstract: A method for reconstructing 3-D vessel geometry of a vessel includes: receiving a plurality of 2-D rotational X-ray images of the vessel; extracting vessel centerline points for normal cross sections of each of the plurality of 2-D images; establishing a correspondence of the centerline points; constructing a 3-D centerline vessel tree skeleton of the vessel; constructing an initial 3-D vessel surface having a uniform radius normal to the 3-D centerline vessel tree skeleton; and constructing a target 3-D vessel surface by deforming the initial vessel surface to provide a reconstructed 3-D vessel geometry of the vessel.

Abstract: A three-dimensional model dataset of a blood vessel system of a patient including at least one the vessel system is determined from a number of projection images, which have been recorded from different recording angles, of the blood vessel system The projection images are divided up into image areas each containing at least one pixel. A feature vector is determined for each of the image areas. Classification information, which describes how the respective image area belongs or does not belong to a vessel segment of the blood vessel system defined in accordance with anatomical specification data, is defined for each of the image areas by applying a classification function to the feature vector assigned to the image area. The classification function has been trained by training data records annotated with classification information obtained from at least one person other than the patient.

Abstract: A tomography installation is configured to carry out a first scan along a first helix-segment-shaped trajectory section and to carry out a second scan along a second helix-segment-shaped trajectory section. A first data set is obtained during the first scan, and a second data set is obtained during the second scan. Taken by themselves in each case, both the first data set and the second data set are too incomplete for a reconstruction of a volume image without a partial revolution artifact. From the two data sets, a fused three- or four-dimensional data set is generated that is sufficiently complete for a reconstruction of a volume image without a partial revolution artifact.

Abstract: A method for ascertaining a fluid-dynamic characteristic value of a resilient vascular tree, through which a fluid flows in a pulsating manner, is provided. At least one 2D projection, respectively, of the resilient vascular tree is generated by a projection device from different angles of projection, and a digital 3D reconstruction of the vascular tree is generated by an analysis device based on of the 2D projections. A geometry of at least one vessel of the resilient vascular tree is estimated based on the 3D reconstruction, and at least one fluid state in the resilient vascular tree is ascertained from the geometry and predetermined resilient properties of the resilient vascular tree. The at least one fluid-dynamic characteristic value is calculated as a function of the at least one fluid state.

Abstract: A tomography system with a beam source and a detector that is adapted to carry out a scan. While the beam source is guided along a circular or helical first trajectory about an orbital axis, a rectangular sensor surface of the detector is guided at a distance from the beam source along a circular or helical second trajectory about the orbital axis. During the scan, a yaw angle between a perpendicular bisector of the sensor surface and the plane of rotation in which the beam source is currently located has a value of greater than 0° and simultaneously smaller than 90°.

Abstract: A method for reconstructing 3-D vessel geometry of a vessel includes: receiving a plurality of 2-D rotational X-ray images of the vessel; extracting vessel centerline points for normal cross sections of each of the plurality of 2-D images; establishing a correspondence of the centerline points; constructing a 3-D centerline vessel tree skeleton of the vessel; constructing an initial 3-D vessel surface having a uniform radius normal to the 3-D centerline vessel tree skeleton; and constructing a target 3-D vessel surface by deforming the initial vessel surface to provide a reconstructed 3-D vessel geometry of the vessel.

Abstract: The left ventricle epicardium is estimated in medical diagnostic imaging. C-arm x-ray data is used to detect an endocardium at different phases. The detected endocardium at the different phases is compared to sample endocardiums at different phases. The sample endocardiums have corresponding sample epicardiums. The transformation between the most similar sample endocardium or endocardiums over time and the detected endocardium over time is applied to the corresponding sample epicardium or epicardiums. The transformed sample epicardium over time is the estimated epicardium over time for the C-arm x-ray data.