Abstract: A weighting for a roadmap method is automatically determined. A first or a second weighting image is generated from an anatomical image and an object image. For this purpose, a prespecified first weighting value is assigned to pixels belonging to a prespecified anatomical feature or to an instrument. Other pixels are assigned increasingly small weighting values at increasing distances from the anatomical feature or from the instrument toward an edge of a respective recording region according to a prespecified monotonously decreasing function in dependence upon the location. An overall weighting image is generated by combining the first and the second weighting images with one another and/or a region of interest determined using the overall weighting image are then provided as input data for an image processing algorithm.

Abstract: A method for determining two-dimensional image data from at least one sectional surface of an acquisition volume as part of a magnetic resonance imaging process by a combined apparatus, including a magnetic resonance imaging facility and an X-ray facility, is provided. The method includes controlling the X-ray facility to acquire at least one X-ray image that images at least part of an object. At least one piece of object information is determined by image processing the X-ray image. At least one sectional-surface parameter that defines an arrangement of the sectional surface in the acquisition volume is determined. The magnetic resonance imaging facility is controlled to acquire measurement data relating to the sectional surface. The two-dimensional image data is calculated from the measurement data. The sectional-surface parameter is used as the basis for the control of the magnetic resonance imaging facility and/or for the calculation of the two-dimensional image data.

Abstract: Operating a medical X-ray apparatus to create a fluoroscopy includes capturing a first X-ray image of a vascular tree as a vascular mask, and segmenting the first X-ray image into at least one image area with the vascular tree and at least one image area without the vascular tree. An intensity of the first X-ray image for the image area with the vascular tree is ascertained as a vascular mask intensity. A second X-ray image of a medical component introduced into the vascular tree is created as a component image. An intensity of the second X-ray image for an image area with the medical component is ascertained as a component intensity. A ratio of component intensity and vascular tree intensity is calculated, and an overlay image with the first and the second X-ray image is generated depending on the calculated ratio of the vascular mask intensity and the component intensity.

Abstract: The acquisition and processing of measurement data by a combined magnetic resonance and X-ray device are provided. Several X-ray images are acquired in succession by a X-ray acquisition unit, and the X-ray images are processed to determine movement data describing a movement of a test subject or at least one region of the test subject during a given time interval. Several data points representing a magnetic resonance signal strength for different phase encodings are acquired by a magnetic resonance acquisition unit during the time interval or an equivalent further time interval, in which the same movement pattern of the test subject or the region is expected. The data points are processed to generate a real space image as a function of the movement data, and/or an acquisition parameter used for the acquisition of at least one of the data points is adjusted as a function of the movement data.

Abstract: For the purpose of reliable and comprehensive patient care, a medical imaging system for combined magnetic resonance and X-ray imaging is provided. The medical imaging system includes a magnetic resonance imaging unit and an X-ray imaging unit that are connected to each other mechanically such that the X-ray imaging unit is built into the magnetic resonance imaging unit and both units surround a patient aperture. The X-ray imaging unit includes a ring that has an X-ray tube and an X-ray detector and may rotate about the patient aperture. The ring is composed of at least four ring sectors, of which two ring sectors may be detached from the ring and at least two ring sectors are fixed in place. An X-ray detector is arranged on one of the detachable ring sectors, and an X-ray source is arranged on the other of the detachable ring sectors.

Abstract: A weighting for a roadmap method is automatically determined. A first or a second weighting image is generated from an anatomical image and an object image. For this purpose, a prespecified first weighting value is assigned to pixels belonging to a prespecified anatomical feature or to an instrument. Other pixels are assigned increasingly small weighting values at increasing distances from the anatomical feature or from the instrument toward an edge of a respective recording region according to a prespecified monotonously decreasing function in dependence upon the location. An overall weighting image is generated by combining the first and the second weighting images with one another and/or a region of interest determined using the overall weighting image are then provided as input data for an image processing algorithm.

Abstract: The embodiments relate to a method for producing a digital volume model of a body volume by a sensor device, which sensor device includes a plurality of radiation sensors, of which each produces a pixel value in a projection. In order to produce the volume model, a plurality of projections from different projection angles (a) are produced and the volume model is computed from sensor positions of the radiation sensors and pixel values of the radiation sensors. For at least one projection angle (a), the sensor positions are corrected by a respective correction vector for rigid motion compensation. The problem addressed is that of also compensating the non-rigid motion of the body volume (i.e., the deformation) in the computation of the volume model.

Abstract: A method for reconstructing an image data set from magnetic resonance data is provided. First measurement data is captured using an image capturing device. The first measurement data is captured using temporal and/or spatial subsampling and is used for reconstructing the image data set with a compressed sensing algorithm in which a boundary condition that provided agreement with the measurement data and a target function that is used in an iterative optimization. The compressed sensing algorithm evaluates candidate data sets for the image data set are used. In the reconstruction using the compressed sensing algorithm, in addition to the first measurement data, second measurement data that is captured by a second imaging modality that is different from the first imaging modality of the first measurement data but by the same image capturing device. The second measurement data is registered to the first measurement data, by a modification of the boundary condition and/or target function.

Abstract: Operating a medical X-ray apparatus to create a fluoroscopy includes capturing a first X-ray image of a vascular tree as a vascular mask, and segmenting the first X-ray image into at least one image area with the vascular tree and at least one image area without the vascular tree. An intensity of the first X-ray image for the image area with the vascular tree is ascertained as a vascular mask intensity. A second X-ray image of a medical component introduced into the vascular tree is created as a component image. An intensity of the second X-ray image for an image area with the medical component is ascertained as a component intensity. A ratio of component intensity and vascular tree intensity is calculated, and an overlay image with the first and the second X-ray image is generated depending on the calculated ratio of the vascular mask intensity and the component intensity.

Abstract: Determining collateral information describing blood flow in collaterals of a blood vessel system in a target region of a patient from a four-dimensional vascular data set describing image values of temporal flow of a contrast medium and/or marked blood constituents as recorded by a medical imaging device is provided. A method includes segmenting the blood vessel system in the vascular data set and determining collaterals among the segmented blood vessels by a collateral classifier. For all collaterals determined, a diameter of the collateral is determined taking into account the segmentation, a filling parameter describing the filling of the collaterals, and a time parameter describing the time response relative to a reference point in the blood vessel system from a temporal course of the image values in a portion of the collaterals under consideration. The method includes determining the collateral information from the diameter, the filling parameter, and the time parameter.

Abstract: A method for generating an at least three-dimensional display data set of a time parameter relating to the chronological spreading of a contrast medium introduced into a vessel system is provided. A series of chronologically successive x-ray images of digital subtraction angiography from at least two different projection directions showing the chronological spreading of the contrast medium is used. The method includes determining a three-dimensional position for at least one correspondence point and/or correspondence region defined, in each case, in at least one x-ray image of a projection direction. For each three-dimensional position, a time parameter assigned to the three-dimensional position is determined by evaluation of time-intensity curves assigned to the correspondence points or correspondence regions over the series. The display data set formed from the three-dimensional positions is displayed with the assigned time parameters.

Abstract: The embodiments relate to generating a 2D projection image of a vascular system of a body region of interest, including: (1) acquiring a 3D dataset of the body region of interest, (2) acquiring at least one 2D projection image of the body region of interest (S3), (3) generating a modified 3D dataset by eliminating vessels whose size exceeds a predetermined limit value, (4) normalizing the 2D projection image using projection data of the modified 3D dataset, (5) eliminating vessel projections in the normalized 2D projection image whose size exceeds a predetermined limit value, (6) interpolating the areas of the 2D projection image in which the vessel projections have been eliminated, and (7) denormalizing the normalized and interpolated 2D projection image using projection data of the modified 3D dataset.

Abstract: A method for improving the image quality of a three-dimensional magnetic resonance image dataset recorded with a magnetic resonance device, wherein, from at least one correction image dataset recorded with a modality other than magnetic resonance imaging, registered with the magnetic resonance image dataset, showing at least partly the same recording region as the magnetic resonance image dataset, especially an x-ray image dataset, relevant material parameters are derived locally-resolved for the magnetic resonance imaging, which are used for establishing a virtual magnetic resonance comparison dataset in a simulation wherein, as a function of a comparison between the magnetic resonance image dataset and the magnetic resonance comparison dataset, at least one measure parameter describing an image quality improvement measure to be applied in the k-space is determined and the image quality improvement measure is carried out with the measure parameter relating to the magnetic resonance image dataset.

Abstract: A method for determining a tissue parameter of tissue that may be determined from passage of a contrast agent through the tissue based on a series of temporally consecutive two-dimensional digital subtraction angiography x-ray images showing propagation of the contrast agent in the tissue over time and a vascular system present in a region of the tissue includes locating at least some of the vessels of the vascular system by segmentation in the x-ray images. The method also includes assigning pixels showing segmented vessels an interpolation intensity determined by interpolation from intensities of at least some of the pixels bordering the segmented vessel, so that x-ray images from which vessels have been eliminated result. The method includes determining tissue parameters for at least some of the pixels of the series of x-ray images from which the vessels have been eliminated.

Abstract: For the purpose of reliable and comprehensive patient care, a medical imaging system for combined magnetic resonance and X-ray imaging is provided. The medical imaging system includes a magnetic resonance imaging unit and an X-ray imaging unit that are connected to each other mechanically such that the X-ray imaging unit is built into the magnetic resonance imaging unit and both units surround a patient aperture. The X-ray imaging unit includes a ring that has an X-ray tube and an X-ray detector and may rotate about the patient aperture. The ring is composed of at least four ring sectors, of which two ring sectors may be detached from the ring and at least two ring sectors are fixed in place. An X-ray detector is arranged on one of the detachable ring sectors, and an X-ray source is arranged on the other of the detachable ring sectors.

Abstract: A method for determining two-dimensional image data from at least one sectional surface of an acquisition volume as part of a magnetic resonance imaging process by a combined apparatus, including a magnetic resonance imaging facility and an X-ray facility, is provided. The method includes controlling the X-ray facility to acquire at least one X-ray image that images at least part of an object. At least one piece of object information is determined by image processing the X-ray image. At least one sectional-surface parameter that defines an arrangement of the sectional surface in the acquisition volume is determined. The magnetic resonance imaging facility is controlled to acquire measurement data relating to the sectional surface. The two-dimensional image data is calculated from the measurement data. The sectional-surface parameter is used as the basis for the control of the magnetic resonance imaging facility and/or for the calculation of the two-dimensional image data.

Abstract: The acquisition and processing of measurement data by a combined magnetic resonance and X-ray device are provided. Several X-ray images are acquired in succession by a X-ray acquisition unit, and the X-ray images are processed to determine movement data describing a movement of a test subject or at least one region of the test subject during a given time interval. Several data points representing a magnetic resonance signal strength for different phase encodings are acquired by a magnetic resonance acquisition unit during the time interval or an equivalent further time interval, in which the same movement pattern of the test subject or the region is expected. The data points are processed to generate a real space image as a function of the movement data, and/or an acquisition parameter used for the acquisition of at least one of the data points is adjusted as a function of the movement data.

Abstract: A method for reconstructing an image data set from magnetic resonance data is provided. First measurement data is captured using an image capturing device. The first measurement data is captured using temporal and/or spatial subsampling and is used for reconstructing the image data set with a compressed sensing algorithm in which a boundary condition that provided agreement with the measurement data and a target function that is used in an iterative optimization. The compressed sensing algorithm evaluates candidate data sets for the image data set are used. In the reconstruction using the compressed sensing algorithm, in addition to the first measurement data, second measurement data that is captured by a second imaging modality that is different from the first imaging modality of the first measurement data but by the same image capturing device. The second measurement data is registered to the first measurement data, by a modification of the boundary condition and/or target function.

Abstract: A method compensates for image artifacts in a first imaging device for imaging a first subregion of a body. The image artifacts are caused by a second subregion of the body being disposed outside of a first field of view for the first device. First measured data for the first field of view is acquired by the first device. The first subregion lies in the first field of view. Second measured data are acquired for a second field of view in a second imaging device. Image data representing the subregions in the second device are calculated from the second measured data. A model representing the subregions is calibrated using the calculated image data. The data representing the second subregion in the first device are simulated using a calibrated model. A correction of the first measured data is performed using simulated data for reducing the image artifacts.

Abstract: The embodiments relate to an angiographic examination method for generating a 2D projection image. The method includes: (1) acquiring a volume dataset, (2) reconstructing a 3D volume from the volume dataset, (3) forward-projecting for generating a virtual vessel projection, (4) deriving a binary vessel mask, (5) acquiring at least one current 2D projection image, (6) combining the binary vessel mask with the at least one current 2D projection image to form a current mask, (7) thresholding the current mask to form a current binary mask, (8) back-projecting the current binary mask into the 3D volume to form a mask volume, (9) threshold value segmenting the mask volume in order to generate a final virtual vessel volume, and (10) subtracting a projection of the vessel volume from the current 2D projection images to generate a selective, overlay-free visualization of the body region of interest by selectable parameters.