Abstract: A computer-implemented system and method of determining anterior commissure (AC) and posterior commissure (PC) points in a volumetric neuroradiological image. The method includes determining, by a computer, a mid-sagittal plane estimate to extract a mid-sagittal plane image from the volumetric neuroradiological image, and AC and PC point estimates in the mid-sagittal plane image. The method further includes determining, by the computer, a refined mid-sagittal plane estimate from the AC and PC point estimates to extract a refined mid-sagittal plane image, the AC point from the refined mid-sagittal plane image, and the PC point from the refined mid-sagittal plane image and the AC point.

Abstract: A computer-implemented system and method of determining anterior commissure (AC) and posterior commissure (PC) points in a volumetric neuroradiological image. The method includes determining, by a computer, a mid-sagittal plane estimate to extract a mid-sagittal plane image from the volumetric neuroradiological image, and AC and PC point estimates in the mid-sagittal plane image. The method further includes determining, by the computer, a refined mid-sagittal plane estimate from the AC and PC point estimates to extract a refined mid-sagittal plane image, the AC point from the refined mid-sagittal plane image, and the PC point from the refined mid-sagittal plane image and the AC point.

Abstract: A method and computer program are provided for segmenting a prostate from a medical image such as an ultrasound image. Each slice in a study is analysed and uses a manual initialization to obtain an initial contour, in which a user selects initial points that are automatically rendered on the image. An automatic refinement stage then snaps the contour to the prostate boundary in the image based on a pre-stored anatomical atlas and edge information obtained from the image. A manual adjustment stage may then be performed and if selected, the contour is automatically propagated to the next image slice to avoid the manual initialization. An auxiliary image slice may be referred to, which indicates how the prostate shape changes from slice to slice, e.g. by providing a perpendicular profile.

Abstract: The invention relates to a method of segmenting an image of a structure stored as a set of spatially related data points representing variations in a predetermined parameter, said method comprising the steps of selecting a seed point within the structure to be segmented, assigning to each of the data points a value of connectivity indicative of the confidence that respective areas of the data points are part of the same structure as said seed point, said value of connectivity including a function of the distance of the respective point from said seed point, establishing a threshold value for said level of connectivity and selecting for display data points meeting said threshold value.

Abstract: A system and method for enhancing digital images is described. A digital image is transformed into a series of decomposed images in frequency bands, or different resolution grids. A decomposed image is noise suppressed and contrast enhanced. Representative value of signal at each pixel is computed based on contributions to signals from pixels in a neighborhood of the pixel. Lookup tables are applied to pixel values to selectively enhance signal in a predetermined range of signal strength. Another set of lookup tables are applied to pixel values to suppress noise components contained therein. Optionally, operations are applied to decomposed images to suppress quantum noise, enhance object edges or enhance global contrast, among others. These decomposed images, after signal enhancement and noise suppression, are then recombined to result in an enhanced image.

Abstract: The present invention discloses a framework for monitoring workflow within an application having multiple levels of functionality, the framework being capable of combining a plurality of components from different sources and comprising a process level for selecting a set of defined process steps to be applied to a data set associated with a set of activities, a sub-process level including an aggregation of selected activities from the set of activities and facilitating navigation between the selected activities, and an activity level wherein an activity's property in the data set is modified as a result of the applied processing of the activity level to produce an output data set.

Abstract: The invention concerns a data processing method comprising the following steps: a)receiving a set of structured and mutually linked data to be processed, of the value type with a name and/or container with a name and capable of containing at least a value having a name and/or another container having a name; b) defining a dictionary object adapted to store/find in a memory workspace a container or a value under/corresponding to a predetermined name; c) generating an empty instance of the dictionary object; d) verifying whether the structure of the data to be processed is of the value or container type; e) if the data is of the value type, storing/finding the value in the memory workspace under/corresponding to the name of the data to be processed, and returning to step d) until the last data to be processed of said set whereas if the data is of the container type, generating an empty dictionary sub-object as per step c), filling the dictionary subobject with the content of the data to be processed as per step

Abstract: The present invention provides methods and software for improving thresholding of coronary calcium scoring. In exemplary embodiments, the present invention applies an automatic search algorithm to slice images of an image scan to generate an individualized signal threshold for each particular patient. In other embodiments, an individualized signal threshold is generated for each slice image of the image scan.

Abstract: A method and system for recognizing and selecting a portion of an image. The method and system employs user-controlled region growing to select a region within an image. The user manipulates a user input device to interactively increase or decrease the number of iterations performed by a region growing routine. The progress of the growth of the region is displayed to the user on a display. In the case of a three dimensional image, the user may select sectional or volume views of the image within which to monitor the growth of the region. Once the user determines an appropriately sized region has been grown, the remainder of the image is scalpelled away and the selected region is displayed on the display. Alternatively, the region is scalpelled away and the remainder of the image is displayed on the display.

Abstract: A C-arm imaging device method, apparatus and system are provided. The apparatus and system includes a module for determining the positions of an imaging source and an imaging receptor and a local gravity vector to determine an imaging source focal point displacement. The apparatus and system may include a module for determining magnetic field distortion. Data obtained by the apparatus and system can be stored for use in subsequent interpolation of imaging source focal point displacement for the C-arm imaging device.

Abstract: The present invention relates to a method for generating an 2-D projection directly from a 3-D volume data, the method comprising the steps of determining a viewing direction vector in a viewing frustum, determining a major axis of the direction vector, resampling the volume data in the direction of the major axis, applying a shear factorization to the resampled data; and rendering the factorized data. The method provides a singularly warped image which avoids have to patch images from multiple warp functions which, in turn, improves the quality of the final image. Finally, the image allows a scene to be rendered from within the scene itself. The invention can be applied to medical imaging and enable a surgeon to view an image such as a CT scan with perspective as well as from within the scan itself, providing the surgeon with an invaluable tool.

Abstract: The present invention provides a system of extracting a visual feature from a dataset, comprising a storage means for storing said dataset; retrieval means for retrieving said dataset from said storage means; display means for displaying an image of said retrieval dataset; means for defining a block of voxels corresponding to a selected portion of said displayed dataset, said block containing said visual feature therein; means for removing from said block voxels not containing said visual feature, to generate a feature block; means for generating a mask from said feature block; and means for rendering said dataset using said mask. A method of extracting visual features is also provided.

Abstract: A method for reconstructing two and three dimensional images of objects using X-ray image projections and iterative reconstruction techniques is provided. More specifically, the method provides an image of the object to be corrected. Two or more X-ray absorbance profiles of the image are obtained along two or more different projection directions. These profiles are compared with the corresponding absorbance profiles of the object substantially filled with an X-ray contrast agent and, based on this comparison, the image is corrected using the iterative reconstruction techniques. Before each iteration the pixels of the image are updated so that if the absorbance value of the pixel is below a preselected value then the pixel is set to 0, otherwise the pixel is set to the absorbance value corresponding to the concentration of the X-ray contrast agent within the object. The iteration stops when the difference between the absorbance profiles of the image and the object falls below a preselected value.

Abstract: A method is provided to reconstruct the three-dimensional image of an X-ray contrast agent-filled object having at least one plane of symmetry using a single plane two-dimensional X-ray projection. The projection is obtained by irradiating the object with X-rays substantially perpendicular to a selected plane of symmetry of the object. The absorbance value of each pixel in the projection, which is related to the distance travelled by the X-ray within the object, is then divided by 2 to define the z coordinates on each side of the x-y plane of symmetry of the object. The z coordinates together with the x,y coordinates of each pixel define the three-dimensional contour of the object.

Abstract: A method is provided to reconstruct the three-dimensional image of an X-ray contrast agent-filled object having at least one plane of symmetry using a single plane two-dimensional X-ray projection. The projection is obtained by irradiating the object with X-rays substantially perpendicular to a selected plane of symmetry of the object. The absorbance value of each pixel in the projection, which is related to the distance travelled by the X-ray within the object, is then divided by 2 to define the z coordinates on each side of the x-y plane of symmetry of the object. The z coordinates together with the x,y coordinates of each pixel define the three-dimensional contour of the object.

Abstract: A method for reconstructing two and three dimensional images of objects using X-ray image projections and iterative reconstruction techniques is provided. More specifically, the method provides an image of the object to be corrected. Two or more X-ray absorbance profiles of the image are obtained along two or more different projection directions. These profiles are compared with the corresponding absorbance profiles of the object substantially filled with an X-ray contrast agent and, based on this comparison, the image is corrected using the iterative reconstruction techniques. Before each iteration the pixels of the image are updated so that if the absorbance value of the pixel is below a preselected value then the pixel is set to 0, otherwise the pixel is set to the absorbance value corresponding to the concentration of the X-ray contrast agent within the object. The iteration stops when the difference between the absorbance profiles of the image and the object falls below a preselected value.