Abstract: A method for compressing digital breast tomosynthesis data, a system and a control unit for image reconstruction of three-dimensional digital breast tomosynthesis volumes (DBT). The volume to be reconstructed is analyzed in order to identify clusters of regions in the volume with a low and high degree of diagnostically relevant information. Depending on the affiliation or belonging to a certain cluster, a specific reconstruction algorithm and a specific slab thickness are determined in order to be used for reconstruction of the cluster. Thus, different clusters are reconstructed differently.

Abstract: A method of performing digital tomosynthesis includes the steps of obtaining an initial volume (I) formed with a plurality of slices (100); performing edge detection in a slice (100); processing the detected edges (11E) to obtain a weighting volume (Wxyz); and generating a composite slab (Scomp, Smeta) on the basis of the weighting volume (Wxyz).

Abstract: A second form of image data is determined from a first form of image data of an examination object in a radiological imaging system. A set of a defined plurality of input pixels in the image data of the first form is determined. In addition, a set of target form parameters of a target form model with a defined plurality of target form parameters is prognostically determined by way of a data-driven regression method from the plurality of input pixels. The number of target form parameters is smaller than the number of input pixels. The second form of image data is determined from the set of target form parameters. There is also described a method in radiological imaging for determining the geometric position of a number of target objects in a second form of image data and an image processing workstation for determining a second form of image data from a first form of image data as well as an imaging device.

Abstract: A self-learning imaging method is particularly suited radiation imaging, such as for mammography. A plurality of training data sets are displayed on a display apparatus. A grayscale value setting is selected for each training data set. A feature set with at least one feature is assigned to each training data set. The feature set and the grayscale value setting are stored for each training data set. The grayscale value setting of an examination data set is selected according to the feature sets and the grayscale value setting of the training data sets.

Abstract: A method, a system, a computer program and a computer program product, as well as a computer-readable storage medium, enables navigating between different medical images and localizing dedicated positions in the images. The medical images may be digital breast tomosynthesis (DBT) images, full-field digital mammography system (FFDM) images and magnetic resonance (MR) images. The process is based on a shape prediction algorithm and a computer-aided detection/diagnosis (CAD) algorithm in order to find a corresponding second position in the at least one second image.

Abstract: An adjustment of the visualization of volume data of an object as an image with regard to diagnostically relevant medical information relating to the environment of a region under investigation is provided. In the process, at least one slice region is specified in accordance with slice information within the volume data. A first mapping of a value range of the volume data is used for visualizing the at least one slice region on a display. A second mapping different from the first mapping is used for visualizing a region bordering on the at least one slice region on the display.

Abstract: A method reconstructs a reconstruction data set containing virtual X-ray images of projection images of a target region recorded with an X-ray device. The projection images being recorded at different positions of an X-ray source along a scanning trajectory. The method includes defining an imaginary position of the X-ray source for each virtual X-ray image. For each virtual X-ray image and each pixel to be reconstructed in the X-ray image a virtual beam section, covering the target region, of the path between the imaginary position of the X-ray source and the pixel is defined. For each projection image, an integral is determined from the relationships between the forward projection and the filtered back-projection by re-parameterizing. A projection value of the virtual X-ray image from the integrals determined is combined.

Abstract: A method, a control unit and a system for image reconstruction and visualization of a tomosynthesis volume. Different region of interests are detected in the volume and specific types of lesions are determined. Based on the type of lesion, different reconstruction parameters and different reconstruction algorithms are applied in order to reconstruct a sub-volume or a region in a projection. After displaying the digital breast tomosynthesis volume, a user selection signal is received, in order to identify a selection area. The selection area identifies a region in the volume which should be reconstructed differently from the remaining volume and typically with higher resolution, because it refers to a region of specific interest. After having received the user selection signal the selection area is defined and a pre-computed or online-computed reconstruction of the selection area is visualized. The reconstruction is executed according to the determined lesion type specific reconstruction parameters.

Abstract: A method for compressing digital breast tomosynthesis data, a system and a control unit for image reconstruction of three-dimensional digital breast tomosynthesis volumes (DBT). The volume to be reconstructed is analyzed in order to identify clusters of regions in the volume with a low and high degree of diagnostically relevant information. Depending on the affiliation or belonging to a certain cluster, a specific reconstruction algorithm and a specific slab thickness are determined in order to be used for reconstruction of the cluster. Thus, different clusters are reconstructed differently.

Abstract: A method, a system, a computer program and a computer program product, as well as a computer-readable storage medium, enables navigating between different medical images and localizing dedicated positions in the images. The medical images may be digital breast tomosynthesis (DBT) images, full-field digital mammography system (FFDM) images and magnetic resonance (MR) images. The process is based on a shape prediction algorithm and a computer-aided detection/diagnosis (CAD) algorithm in order to find a corresponding second position in the at least one second image.

Abstract: Reduction of artifacts in digital breast tomosynthesis and in computed tomography. Because of the limited angular range acquisition in DBT the reconstructed slices have reduced resolution in z-direction and are affected by artifacts. Out-of-plane blur caused by dense tissue and large masses complicates 3D visualization and reconstruction of thick slices volumes. The streak-like out-of-plane artifacts caused by calcifications and metal clips distort the true shape of calcification, an important malignancy predictor. Microcalcifications could be obscured by bright artifacts. The technique involves reconstructing a set of super resolution slices and predicting the “artifact-free” voxel intensity based on the corresponding set of projection pixels using a statistical model learned from a set of training data.

Abstract: A method of assigning first localization data of a breast of a patient derived from first image data of the breast, the first image data being the result of a first radiological data acquisition process, to second localization data of the same breast derived from second image data, the second image data being the result of a second radiological data acquisition process, or vice versa. Thereby, the first localization data are assigned to the second localization data by intermediately mapping them into breast model data representing a patient-specific breast shape of the patient and then onto the second image data—or vice versa, thereby deriving assignment data. An assignment system performs the above-described method.

Abstract: An imaging method with an improved display of a tissue region generates a first visualization and a second visualization from projection recordings that were recorded at different angles. A radiologist is enabled to mark a region in the first visualization, which region is displayed by way of the second visualization.

Abstract: Three-dimensional image information is generated of a body part that is larger than the visual field of an X-ray machine. An X-ray source and an X-ray detector are disposed at a first position such that the X-ray source and the X-ray detector can record a first projection image of at least a first section of a body part. Then the first projection image is recorded. The X-ray source and the X-ray detector are next disposed at a second position such that the X-ray source and the X-ray detector can record a second projection image of at least a second section of the body part. The second section partially overlaps the first section. The first and second projection images are merged to form a projected image. A three-dimensional volume of the body part is reconstructed from the plurality of projection images.

Abstract: An imaging method, more particularly a mammography method, includes rotating a tissue region in the virtual domain. Projection recordings of a tissue region are generated by way of radiation emitted by an emitter, which radiation is captured by a detector after passing through the tissue region. Slice images are generated from the projection recordings. A slice image region corresponding to a partial tissue region is rotated virtually. The virtually rotating partial tissue region can be displayed as a set of virtual projections.

Abstract: A method for digitally reconstructing a 3-dimensional tomosynthesis image by iterative reconstruction, a reconstructor, and a computer program product method are capable of plane-by-plane iterative reconstruction for digital breast tomosynthesis. The reconstruction process is based on a grouped coordinate ascent algorithm where the volume is split into a plurality of patches, wherein all patches are parallel to a surface of a detector. Splitting the volume allows implementing a modified model for image acquisition where the physical movement of the x-ray source is taken into account because each of the patches is updated separately and sequentially. In addition the splitting allows an efficient implementation on a graphical processing unit by reducing memory requirements.

Abstract: A method for digitally reconstructing a 3-dimensional tomosynthesis image by iterative reconstruction, a reconstructor, and a computer program product method are capable of plane-by-plane iterative reconstruction for digital breast tomosynthesis. The reconstruction process is based on a grouped coordinate ascent algorithm where the volume is split into a plurality of patches, wherein all patches are parallel to a surface of a detector. Splitting the volume allows implementing a modified model for image acquisition where the physical movement of the x-ray source is taken into account because each of the patches is updated separately and sequentially. In addition the splitting allows an efficient implementation on a graphical processing unit by reducing memory requirements.

Abstract: In a maximum a posteriori tomosynthesis method to reconstruct a three-dimensional image from two-dimensional x-ray images, a Geman prior function to reduce the noise is used in which the edges and boundaries of tissue structures remain visible. The method is parameterized by the estimated noise value of the attenuation coefficients and the estimated average tissue attenuation value.

Abstract: Properties of an object are visualized as an image on a display. In this way, the object is visualized using volume data. In accordance with slice information, at least one slice area is defined within the volume data. An image of a value region of the volume data is used for visualization on the display. The image is changed for the slice area in accordance with a distance of the slice area relative to a region of volume data bordering the slice area.

Abstract: An adjustment of the visualization of volume data of an object as an image with regard to diagnostically relevant medical information relating to the environment of a region under investigation is provided. In the process, at least one slice region is specified in accordance with slice information within the volume data. A first mapping of a value range of the volume data is used for visualizing the at least one slice region on a display. A second mapping different from the first mapping is used for visualizing a region bordering on the at least one slice region on the display.