Abstract: A system and method is provided for classifying voxels of first and second images generated using first and second echoes of a dual MRI scan, the first and second echoes corresponding to respective first and second sets of image acquisition parameters.

Abstract: An imaging system for scanning a volume of interest in an object, the system includes a radiation source configured to traverse in a plurality of focal spot positions yielding a plurality of focal spot trajectories. Each focal spot trajectory defines a two dimensional focal spot projection in an image acquisition plane. Each of the focal spot positions comprise at least two positions at unequal distances from the image acquisition plane.

Abstract: There is provided a method of analyzing a plurality of views of an object, the object including an edge portion partially extending from a surface of the object into an internal volume of the object, comprising the step of analyzing each acquired view. The step of analyzing each acquired view includes analysis of the edge portion. Preferably, the object comprises breast tissue.

Abstract: A method for segmenting magnetic resonance (MR) images of an anatomical body of interest, for example the brain, comprises classifying a plurality of selected structures within the body of interest based on a plurality of image processing computations wherein the computations are adapted to relate respective T2 relaxation times corresponding to each of the structures. Thereafter, the method comprises segmenting the MR images for each of the structures substantially concurrently based on the plurality of image computations. A system for automatically segmenting magnetic resonance (MR) images of an anatomical body of interest comprises a processor coupled to an MR image acquisition device wherein the processor is adapted to perform concurrent segmentation computations for a plurality of selected structures within the anatomical body of interest.

Abstract: A method and system are provided for generating transfer functions for use in volume rendering of three-dimensional data of an object volume. The method comprises obtaining the three-dimensional data of the object volume, evaluating selected characteristics for a plurality of samples of the three-dimensional data and computing a transfer function range for volume rendering the three-dimensional data based on the selected characteristics. The system comprises an imaging device and an image processing device. The image processing device is adapted to generate at least one three-dimensional image data set of the object volume based on obtained image data and is further adapted to compute a transfer function range for use in volume rendering.

Abstract: A system and method is provided for classifying voxels of first and second images generated using first and second echoes of a dual MRI scan, the first and second echoes corresponding to respective first and second sets of image acquisition parameters.

Abstract: A method and system for detecting iron using magnetic resonance imaging (MRI) is provided. The method comprises acquiring magnetic resonance (MR) images by a selected pulse sequence to enhance brain iron deposits using a MRI system having a substantially high magnetic field strength and characterizing regions of interest within the MR images having statistically relevant quantities of iron deposits to indicate a given disease.

Abstract: There is provided a method of analyzing a plurality of views of an object, the object including an edge portion partially extending from a surface of the object into an internal volume of the object, comprising the step of analyzing each acquired view. The step of analyzing each acquired view includes analysis of the edge portion. Preferably, the object comprises breast tissue.

Abstract: A multi modality imaging system contains an X-ray imaging subsystem and a nuclear medicine imaging subsystem. The X-ray imaging subsystem may be a tomosynthesis subsystem. The system may be used for mammography imaging, such that the X-ray imaging subsystem and the nuclear medicine imaging subsystem are adapted to image a breast compressed by a breast compression paddle.

Abstract: A method and system are provided for generating at least one three-dimensional image of an object volume. The three-dimensional image is generated by applying a selected three-dimensional (3D) visualization technique on the tomosynthesis data. The tomosynthesis data of the object volume is obtained by an imaging device for irradiating the volume with radiation at a plurality of radiating positions. The imaging device generates a plurality of spaced-apart planar images through the object volume from a plurality of projection radiographs which are derived by detecting radiation at the plurality of radiating positions.

Abstract: A method for segmenting magnetic resonance (MR) images of an anatomical body of interest, for example the brain, comprises classifying a plurality of selected structures within the body of interest based on a plurality of image processing computations wherein the computations are adapted to relate respective T2 relaxation times corresponding to each of the structures. Thereafter, the method comprises segmenting the MR images for each of the structures substantially concurrently based on the plurality of image computations. A system for automatically segmenting magnetic resonance (MR) images of an anatomical body of interest comprises a processor coupled to an MR image acquisition device wherein the processor is adapted to perform concurrent segmentation computations for a plurality of selected structures within the anatomical body of interest.

Abstract: A mechanism for improving connectivity processing of computer axial tomography and magnetic resonance images by a fast, stack independent, iterative method first designates a pixel of an object material of interest in an image as a seed pixel. The mechanism then performs connectivity processing by starting at the seed pixel and evaluating the next forward direct neighbor pixel to determine if it is within the object material of interest. If the direct neighbor pixel is within the object, the direct neighbor pixel is marked as a new seed pixel and the connectivity mechanism evaluates the next forward direct neighbor pixel, continuing in a left-to-right and top-to-bottom fashion.

Abstract: A storage medium encoded with machine-readable computer program is used for finding the shortest path between two points on a polygonal surface. The storage medium includes instructions for causing a computer to implement a method for finding the shortest path. Given a first point and a second point on the polygonal surface, a polyline lying on the surface and passing through the two points is defined. The polyline on a polygonal mesh is analyzed to determine points lying on the polyline and on edges of the mesh. The polygonal faces of the mesh are assumed, without any loss of generality, to be triangles. If the start and end points of the polyline are not on the edges of the mesh, the faces of the polygonal surface on which the start and end points of the polyline lie are triangulated so that the start and end points become vertices of the polygonal mesh. The polyline is then modified such that it will pass through the first and second points of the polyline, creating a new polyline of a shorter length.

Abstract: A system is provided for identifying faults in a non-OEM computed tomography system having components in connection with the detectors to reconstruct an image. Then, correlation values are derived from baseline reference data files and current data files collected after a fault is suspected in the CT system. The correlation values are compared against a threshold to identify suspect detectors and a pattern recognition algorithm is applied to determine if the suspect detectors are faulty or if one of the components processing the output signals has failed. If baseline files are unavailable, the identification of faulty components is accomplished by performing correlation between the current data files and average profile values.

Abstract: The present invention provides a system for performing fast segmentation and image processing for enhanced three dimensional (3-D) visualization of a subject. The present invention automatically extracts unwanted dominant features from images while preserving the desired information. The present invention works especially well with Computed Tomography Angiograms (CTA) for viewing vasculature of a subject's head. Segmenting and removing dominant structures from image data permits visualization techniques such as maximum intensity projection (MIP), surface rendering and volume rendering, to provide enhanced vessel visualization.