Abstract: In a method to control the acquisition and/or evaluation procedure of image data in medical examinations, in a previously acquired planning image data set entirely or partially covering a target volume, spatial information of the target volume is determined automatically using a statistical model of the target volume based on data about real anatomy. The acquisition and/or evaluation operation is controlled using the spatial information. A statistical model of at least one greyscale value distribution in the region of the surface of the target volume is used to calculate the location information.

Abstract: In a method for determination of the transverse relaxation time T2* in MR data, the T2* relaxation is detected in a measurement volume and the transverse relaxation time is determined from the time curve of the magnetization in the measurement volume. In order to be able to more reliably determine the transverse relaxation time T2*, a local magnetic field in the measurement volume is determined and the transverse relaxation time is corrected dependent on the local magnetic field such that a corrected transverse relaxation time is obtained. The local magnetic field is determined by determination of the phase curve of the magnetization from multiple predetermined echo times, the echo times having different intervals (?TE) from one another, and determination of the local magnetic field from the phase curve of the magnetization. The interval between the echo times at least at one point in the measurement volume is adapted such that the local magnetic field can be determined without phase compression.

Abstract: In an MR-compatible video system, MR-compatible video eyeglasses are connected to a graphics unit. A position sensor arrangement is connected to the graphics unit to detect the position and/or orientation of the MR-compatible video eyeglasses and/or the position of the pupils of a user. The graphics unit comprises means for producing image signals for MR-compatible video eyeglasses depending on the position and/or orientation of the MR-compatible video eyeglasses and/or the position of the pupils of the user.

Abstract: In the method according to at least one embodiment of the invention, an image data record having a structure to be segmented is first of all displayed by display equipment. Using an input apparatus, a segmentation algorithm to be used is selected from a group of different segmentation algorithms, including a contour-based segmentation algorithm, a region-based segmentation algorithm and manual segmentation, based on the local image contrast in a region to be segmented in the image data record. A region to be segmented in the image data record is marked, and the structure to be segmented in the marked region is segmented using the selected segmentation algorithm, and a segmentation result of the segmentation is displayed. This procedure (selecting a segmentation algorithm/marking a region/segmenting the region/displaying) is repeated until the structure to be segmented is completely segmented in the displayed image data record and a boundary line of the structure is produced as the final segmentation result.

Abstract: In the method according to at least one embodiment of the invention, a first segmentation of a structure in an image data record is firstly carried out, and a first final segmentation result is obtained therefrom. A region in the image data record is selected based on the first final segmentation result obtained. A first band is placed at a first, outwardly pointing distance from the selected region. This first band characterizes a background region. A second band is placed at a second, inwardly pointing distance from the projected first final segmentation result of the first segmentation. This second band characterizes a structure region. A further segmentation is carried out based on the characterized background region and the characterized structure region, and the final segmentation result of the further segmentation is saved and/or displayed. Furthermore, an image processing unit for carrying out the method is disclosed.

Abstract: In a method and apparatus for incremental calculation of a general linear model given intermittent correlation of the model functions, data composed of a number of data sets with a number of different random samples are processed. For each independent random sample contained in the data set, a dependency on an order quantity is compared with the dependency on the order quantity in model functions contained in a model matrix G using the general linear model in order to check the occurrence of specific characteristics in the dependency of the random sample on the order quantity. The calculation of the general linear model ensues incrementally from data set to data set. Before the calculations for the data of a data set, a check is made as to whether the model functions contained in the model matrix G exhibit orthogonal portions to a sufficient degree in a segment (represented by the data set) of the dependency on the order quantity for the calculations.

Abstract: A method for lesion segmentation in 3-dimensional (3D) digital images, includes selecting a 2D region of interest (ROI) from a 3D image, the ROI containing a suspected lesion, extending borders of the ROI to 3D forming a volume of interest (VOI), where voxels on the borders of the VOI are initialized as background voxels and voxels in an interior of the VOI are initialized as foreground voxels, propagating a foreground and background voxel competition where for each voxel in the VOI, having each neighbor voxel in a neighborhood of the voxel attack the voxel, and, if the attack is successful, updating a label and strength of the voxel with that of the successful attacking voxel, and evolving a surface between the foreground and background voxels in 3D until an energy functional associated with the surface converges in value, where the surface segments the suspected lesion from the image.

Abstract: In a method as well as a device to process measurement data that are composed of a number of data sets with a number of independent random samples originating via temporally successive measurements, for a comparison of the time curve of each acquired random sample with the time curve of a model function using the general linear model, the required calculations are implemented data set-by-data set in a series of the data sets originating from the temporal sequence of measurements, and stored as an intermediate result, with the intermediate results of the directly preceding data set being updated with the new calculations. The comparison can be calculated efficiently and quickly, with a saving of storage space.

Abstract: In a method and apparatus for determination of coefficients of a diffusion tensor to describe a diffusion process within a subject, spatially-resolved, variously diffusion-coded diffusion data are generated from volume elements of the subject under consideration of control data for various diffusion codings. Intermediate diffusion data are generated for each volume element from diffusion data measured with a first diffusion coding. Updated intermediate diffusion data are then determined for each volume element from diffusion data generated preceding the intermediate diffusion data and current diffusion data measured with a different diffusion coding. Components of a diffusion tensor are determined from the last determined, updated intermediate diffusion data after multiple updates with various diffusion codings.

Abstract: In a method, system and computer program product for administration of different versions of a configuration file for configuration of medical apparatuses in a clinical system, the configuration file can also be locally changed at the apparatus itself and be made centrally available. Together with one configuration file, a set of versions regarding the configuration file is automatically administered while maintaining consistency of the data.

Abstract: In a method for controlling the acquisition and/or evaluation operation of image data in medical examinations, using a statistical model of the target volume based on data about real anatomy, spatial information (in particular position, orientation and shape) of the target volume are automatically determined in a previously-acquired planning image data set wholly or partially showing a target volume, and the acquisition and/or evaluation operation is controlled using the spatial information.

Abstract: In a method and apparatus for accelerated spiral-coded imaging (scanning k-space with a spiral trajectory) in magnetic resonance tomography, the user-defined sequence forming the basis of the spiral scanning is modified such that the k-matrix forming the basis of the sequence is scanned only in a sub-region, the sub-region being defined by a symmetrical shortening on both sides of the k-space matrix in a first direction as well as by a one-sided shortening of the k-space matrix in a second direction orthogonal to the first direction.

Abstract: In a method for determination of the transverse relaxation time T2* in MR data, the T2* relaxation is detected in a measurement volume and the transverse relaxation time is determined from the time curve of the magnetization in the measurement volume. In order to be able to more reliably determine the transverse relaxation time T2*, a local magnetic field in the measurement volume is determined and the transverse relaxation time is corrected dependent on the local magnetic field such that a corrected transverse relaxation time is obtained. The local magnetic field is determined by determination of the phase curve of the magnetization from multiple predetermined echo times, the echo times having different intervals (?TE) from one another, and determination of the local magnetic field from the phase curve of the magnetization. The interval between the echo times at least at one point in the measurement volume is adapted such that the local magnetic field can be determined without phase compression.

Abstract: In a method and apparatus for determination of coefficients of a diffusion tensor to describe a diffusion process within a subject, spatially-resolved, variously diffusion-coded diffusion data are generated from volume elements of the subject under consideration of control data for various diffusion codings. Intermediate diffusion data are generated for each volume element from diffusion data measured with a first diffusion coding. Updated intermediate diffusion data are then determined for each volume element from diffusion data generated preceding the intermediate diffusion data and current diffusion data measured with a different diffusion coding. Components of a diffusion tensor are determined from the last determined, updated intermediate diffusion data after multiple updates with various diffusion codings.

Abstract: In a method and apparatus for incremental calculation of a general linear model given intermittent correlation of the model functions, data composed of a number of data sets with a number of different random samples are processed. For each independent random sample contained in the data set, a dependency on an order quantity is compared with the dependency on the order quantity in model functions contained in a model matrix G using the general linear model in order to check the occurrence of specific characteristics in the dependency of the random sample on the order quantity. The calculation of the general linear model ensues incrementally from data set to data set. Before the calculations for the data of a data set, a check is made as to whether the model functions contained in the model matrix G exhibit orthogonal portions to a sufficient degree in a segment (represented by the data set) of the dependency on the order quantity for the calculations.

Abstract: In a method for improving the quality, particularly the signal-to-noise ratio, of an image, first image data are subjected to a mathematical operation in the position domain that improves the image quality, with picture elements in the environment of the individual picture element, for each individual picture element of the image to be subjected to the mathematical operation are provided with mutually independent, first weighting factors that have a magnitude dependent on the spatial distance of the respective picture element of the environment from the individual picture element, and with which the mathematical operation is implemented for the individual picture element.

Abstract: In a method and apparatus for accelerated spiral-coded imaging (scanning k-space with a spiral trajectory) in magnetic resonance tomography, the user-defined sequence forming the basis of the spiral scanning is modified such that the k-matrix forming the basis of the sequence is scanned only in a sub-region, the sub-region being defined by a symmetrical shortening on both sides of the k-space matrix in a first direction as well as by a one-sided shortening of the k-space matrix in a second direction orthogonal to the first direction.

Abstract: In a method for calculating a one-dimensional map of the base magnetic field B0 and subsequent correction, based on this map, of image artifacts due to B0 field changes, in the examination of a subject with a magnetic resonance tomography apparatus, data for a slice of the subject to be examined are obtained with a sequence of a fast MRT imaging method that includes at least three phase correction scans and measurement signals of the respective phase correction scans as well as of the slice are obtained, the phase difference of the data points (respectively pertaining to one another) of two phase correction scans, in the form of the acquired measurement signals of the respective phase correction scans, are calculated point-by-point, the average phase difference between the phase correction scans is evaluated, and the frequency offset between the actual resonance frequency relative to the adjusted resonance frequency is calculated based on the average phase difference and the echo time difference between the p

Abstract: In a method as well as a device to process measurement data that are composed of a number of data sets with a number of independent random samples originating via temporally successive measurements, for a comparison of the time curve of each acquired random sample with the time curve of a model function using the general linear model, the required calculations are implemented data set-by-data set in a series of the data sets originating from the temporal sequence of measurements, and stored as an intermediate result, with the intermediate results of the directly preceding data set being updated with the new calculations. The comparison can be calculated efficiently and quickly, with a saving of storage space.

Abstract: In a method for the operation of a magnetic resonance apparatus an anatomical image of a region of an examination subject to be imaged is generated with a prescribable resolution and quality, a functional image of the region to be imaged is generated, the functional image is superimposed on the anatomical image, and at least one area of the region to be imaged wherein the functional image contains unreliable information is identified in the superimposition.