Abstract: In a method for image data acquisition of a region of interest in a subject with a magnetic resonance device, wherein, to establish the field of view, a minimal geometric shape encompassing the subject to be acquired and/or the surface of the subject is determined automatically from previously acquired localizer exposures as aliasing information for each exposure, at least one slice plane is determined for the acquisition of the region, and the phase coding direction and/or the extent of the field of view in the phase coding direction is determined for every slice plane using the aliasing information.

Abstract: In a method for flow measurement with a magnetic resonance system and a correspondingly designed magnetic resonance system angiography measurement data of a volume are obtained within a body to be examined, a vessel is determined depending on a user input by means of the angiography measurement data, dimensions and an orientation of the vessel are automatically determined from the angiography measurement data, a slice geometry for the flow measurement is automatically determined depending on the dimensions and the orientation, and the flow measurement is implemented using the slice geometry.

Abstract: A method for automatic femur segmentation and condyle line detection. The method includes: scanning a knee of a patient with medical imaging equipment to obtain 3D imaging data with such equipment; processing the obtained 3D imaging data in a digital processor to determine two lines tangent to the bottom of the knee condyles in an axial and a coronal plane; and automatically scanning the patient in the defined plane. The processing includes: determining an approximate location of the knee; using the determined the location to define a volume of interest; segmenting the femur in the defined volume of interest; and determining a bottom point on the femur portion on a right side and a left side of the segmented femur in an axial and a coronal slice to determine the two lines.

Abstract: Exemplary systems and methods for performing registration applications are provided. An exemplary system includes a central processing unit (CPU) for transferring a plurality of images to a graphics processing unit (GPU); wherein the GPU performs a registration application on the plurality of images to produce a registration result, and wherein the GPU returns the registration result to the CPU. An exemplary method includes the steps of transferring a plurality of images from a central processing unit (CPU) to a graphics processing unit (GPU); performing a registration application on the plurality of images using the GPU; transferring the result of the step of performing from the GPU to CPU.

Abstract: A method for generating a positron emission tomography (PET) attenuation correction map from magnetic resonance (MR) images includes segmenting a 3-dimensional (3D) magnetic resonance (MR) whole-body image of a patient into low-signal regions, fat regions, and soft tissue regions; classifying the low-signal regions as either lungs, bones, or air by identifying lungs, identifying an abdominal station, and identifying a lower body station; and generating an attenuation map from the segmentation result by replacing the segmentation labels with corresponding representative attenuation coefficients.

Abstract: A system and corresponding method for flexible generation of digitally reconstructed radiograph (DRR) images on a graphics processing unit (GPU) are provided, the system including a processor, an imaging adapter in signal communication with the processor for receiving volumetric data, an integration unit in signal communication with the processor for integrating the volumetric data into incremental line integrals, and a modeling unit in signal communication with the processor for modeling composite line integrals from the incremental line integrals; and the corresponding method including receiving three-dimensional (3D) volumetric data into a graphics pipeline, integrating the 3D volumetric data into incremental line integrals along a plurality of viewing rays, modeling composite line integrals from the incremental line integrals, and adding the incremental line integrals for each composite line integral to form pixels of the DRR image.

Abstract: A method for tracking a contour in cardiac phase contrast flow magnetic resonance (MR) images includes estimating a global translation of a contour in a reference image in a time sequence of cardiac phase contrast flow MR images to a contour in a current image in the time sequence of images by finding a 2-dimensional translation vector that maximizes a similarity function of the contour in the reference image and the current image calculated over a bounding rectangle containing the contour in the reference image, estimating an affine transformation of the contour in the reference image to the contour in the current image, and performing a constrained local deformation of the contour in the current image.

Abstract: A method for automatically generating a myocardial perfusion map from a sequence of magnetic resonance (MR) images includes determining a region of interest (ROI) in a reference frame selected from a time series of myocardial perfusion MR image slices, registering each image slice in the time series of slices to the reference frame to obtain a series of registered ROIs, and using the series of registered ROIs to segment endo- and epi-cardial boundaries of a myocardium in the ROI.

Abstract: A method for automatically selecting a number of Gaussian modes for segmentation of a cardiac magnetic resonance (MR) image, including: identifying a left ventricle (LV) in a cardiac MR image slice; quantifying the LV blood pool; obtaining a mask for the LV blood pool; generating a ring mask for a myocardium of the LV from the LV blood pool mask; fitting three Gaussian modes to a histogram of the image slice to obtain a corresponding homogeneity image for the myocardium; computing a quality of fitting (QOF) measure for the three Gaussian modes based on the corresponding homogeneity image; repeating the fitting and computing steps for four and five Gaussian modes; and selecting the homogeneity image of the number of Gaussian modes with the largest QOF measure as the homogeneity image for processing.

Abstract: A method and system for vessel enhancement and artifact reduction in a 3D time-of-flight (TOF) magnetic resonance (MR) angiography brain image. An intensity-based threshold is used to extract structures of interest in the brain image. Vessels are isolated in the structures of interest by filtering the structures based on a vesselness measure. The vessels are then enhanced by multiplying the filtered image by a coefficient map based on intensities of the original brain image. The scalp is detected in the enhanced image, and the scalp is removed from the enhanced image to generate a noise-reduce enhanced image.

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 displaying a medical image comprises selecting a point in a medical image, creating a panoramic digital image by propagating a plurality of rays from said selected point, wherein said panoramic digital image comprises a plurality of pixels, each pixel being associated with one of the propagated rays, wherein the value associated with each pixel is computed by integrating an opacity value associated with each point in the image along the path of each ray through the image, wherein the integration of the opacity value is terminated once a threshold value is reached, and viewing said panoramic digital image in an interactive display application. The interactive display application enables the view to zoom and pan the image, as well as changing orientation. The panoramic digital image can be incorporated into a patient medical record and stored in a database.

Abstract: A method of aligning a pair of images with a first image and a second image, wherein said images comprise a plurality of intensities corresponding to a domain of points in a D-dimensional space includes identifying feature points on both images using the same criteria, computing a feature vector for each feature point, measuring a feature dissimilarity for each pair of feature vectors, wherein a first feature vector of each pair is associated with a first feature point on the first image, and a second feature vector of each pair is associated with a second feature point on the second image. A correspondence mapping for each pair of feature points is determined using the feature dissimilarity associated with each feature point pair, and an image transformation is defined to align the second image with the first image using one or more pairs of feature points that are least dissimilar.

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: A method of registering a digital image with a polygonal mesh comprising the steps of providing a digital image, providing a polygonal mesh comprising a plurality of vertices that approximates an object in the digital image, propagating a ray from a vertex of the polygonal mesh into the digital image and calculating a line integral of opacity values wherein each opacity value corresponds to the intensity of a pixel of the image through which said ray passes, terminating the ray at a point in the image when an opacity threshold is reached, and adding the termination point to a set of closest points. A registration is computed between the vertices of the polygonal mesh and the set of closest points, and the registration is applied to the polygonal mesh to obtain a new set of vertices.

Abstract: In a method for representation of the heart in a magnetic resonance system at least one MR overview image of the heart is acquired. An image plane with a predetermined position relative to the magnetic resonance system is selected for this overview image. The acquired MR overview image is displayed and a number of marking points are established in the displayed overview image. Further image planes for representation of the heart are calculated using some of the established marking points. Further MR images are acquired in the calculated image planes.

Abstract: In a method and system for automated evaluation of an image data set of a subject, first features are extracted from the image data set that are associated with the subject. An interdependency between the image data set of the subject and a reference system that corresponds to the image data set is determined, by the extracted first features being set in relation to corresponding second features in the reference system. Method steps relating to image evaluation that are predefined at the reference system, are adapted to the image data set using the determined interdependency. The image data set by executing the adapted method steps on the image data set. The evaluated image data set is stored in a storage medium and/or the evaluated image data set is visually presented.

Abstract: In a method and system for virtual slice positioning in a 3D volume data set in which the image of a subject is represented, first features are extracted from the 3D volume data set that are associated with the subject. An interdependency is determined between the 3D volume data set of the subject and a reference system that corresponds to the 3D volume data set, by setting extracted first features in relation to corresponding second features in the reference system. A first slice positioning that is predefined at the reference system is transferred to a second slice positioning in the 3D volume data set using the determined interdependency. Image data are generated from the 3D volume data set along the second slice positioning (43).

Abstract: The present invention provides techniques for combining various types of diagnostic images. In one embodiment of the present invention, a composite image is obtained by fusing MPR and MIP images. The MPR is obtained from a CT scan, and the MIP is obtained from a PET scan. The resulting superimposed images help a physician to see the diagnostic information in context. In other embodiments of the present invention, techniques for an MIP-MIP overlay, VR-MIP overlay, and VR-MPR overlay are provided.

Abstract: The present invention provides techniques for combining various types of diagnostic images. In one embodiment of the present invention, a composite image is obtained by fusing MPR and MIP images. The MPR is obtained from a CT scan, and the MIP is obtained from a PET scan. The resulting superimposed images help a physician to see the diagnostic information in context. In other embodiments of the present invention, techniques for an MIP-MIP overlay, VR-MIP overlay, and VR-MPR overlay are provided.