Abstract: A system and method for developing radiation therapy plans and a system and method for developing a radiation therapy plan to be used in a radiation therapy treatment is disclosed. A radiation therapy plan is developed using a registration of medical images. The registration is based on identifying landmarks located within inner body structures.

Abstract: A method includes determining a change in a volume of a tissue of interest located in at least two data sets between the at least two data sets. The at least two image data sets include a first image data set acquired at a first time and a second image data set acquired at a second time, and the first and second times are different. The method includes generating a rendering which includes a region in which the tissue of interest is located and indicia that indicates a magnitude of the change across the region. The region is superimposed over the rendering, which is generated based on at least one of the at least two image data sets, and linked to a corresponding image respectively in the at least two image data sets including voxels representing tissue of interest. The method includes visually presenting the rendering in a graphical user interface.

Abstract: A digital image (40) comprises pixels with intensities relating to different energy levels.

Abstract: Image processing method or apparatus (IP) to transform a 3D image data set (DS) into a visually protected one (DSX). The 3D image set includes an object region (OR) and a background region (BR) that defines s silhouette of an imaged object (P). An inadvertent or malicious direct volume rendering of the silhouette (IF) of the object is prevented by applying a randomization operation to at least the background region (BR).

Abstract: A method includes obtaining contrast-enhanced image data having a plurality of voxels, each voxel having an intensity value. The method further includes determining a vesselness value for each voxel. The method further includes determining a hypo-density value for each voxel. The method further includes weighting each of the intensity values by a corresponding vesselness value. The method further includes weighting each of the hypo- density values by the corresponding vesselness value. The method further includes combining the weighted intensity values and the weighted hypo-density values, thereby generating composite image data. The method further includes visually displaying the composite image data.

Abstract: An apparatus and a method for post processing 2D image slices (110a-c) defining a 3D image volume. The apparatus comprises a graphical user interface controller (160), a 2D segmenter (170) and a 3D segmenter (180). The apparatus allows a user to effect calculation and display of a 2D segmentation of a cross section of an object shown in a slice (110a) and calculation and display of a 3D segmentation of the object across the 3D image volume, the 3D segmentation based on the object's previously calculated 2D segmentation.

Abstract: A system for displaying a plurality of registered images is disclosed. A first viewport unit displays a representation of a first image dataset in a first viewport. A second viewport unit displays a representation of a second image dataset in a second viewport. A position indication unit enables a user to indicate a position in the first dataset displayed in the first viewport, to obtain a user-indicated position. A corresponding position determining unit determines a position in the second image dataset corresponding to the user-indicated position, to obtain a corresponding position in the second image dataset, based on correspondence information mapping positions in the first image dataset to corresponding positions in the second image dataset. The second viewport unit displays an indication of the corresponding position in the second viewport.

Abstract: A method includes displaying a background image on a display screen. The method further includes receiving, from an input device, a signal indicative of a free hand line being drawn over the background image. The signal includes coordinates of points of the free hand line with respect to the display screen. The free hand line is independent of content represented in the background image. The method further includes storing the signal in a storage device. The method further includes generating a smooth stiff line based on the stored signal. The method further includes displaying the smooth stiff line over the background image.

Abstract: A system 100 for real-time processing of a pointer movement provided by a pointing device, the system comprising an output 130 for displaying a pointer 162, 164 at a first position p1 in an image 152, 154, 156, the image comprising a contour; a user input 110 for obtaining pointer movement data 112 from a pointing device 140 operable by a user, the pointer movement data being indicative of a pointer movement v of the pointer from the first position to a second position p2 in the image; and a processor 120 for (i) dampening the pointer movement by reducing the pointer movement along a direction orthogonal 172 to the contour, and (ii) establishing a third position p3 of the pointer based on said dampened pointer movement vd.

Abstract: The present invention relates to an image processing device for detecting line structures in an image data set. The device comprises a model definition unit (12) for defining a line model of a line structure to be detected, said line model comprising a number of voxels, a calculation unit (14) for calculating, per voxel of interest of said image data set, several correlation values of a correlation between said line model and an image area around said voxel of interest, said image area comprising a corresponding number of voxels as said line model, wherein for each of a number of different relative orientations of said line model with respect to said image area a respective correlation value is calculated, and a determining unit (16) for determining, per voxel of interest, the maximum correlation value from said calculated correlation values and the corresponding optimal orientation at which said maximum correlation value is obtained.

Abstract: A therapy planner (16) is configured to construct a therapy plan based on a planning image segmented into segments delineating features of a subject. A predictive plan adaptation module (20) is configured to adjust the segments to represent a foreseeable change in the subject and to invoke the therapy planner to construct a therapy plan corresponding to the foreseeable change. A data storage (18) stores a plurality of therapy plans generated for a subject by the therapy planner and the predictive plan adaptation module based on at least one planning image of the subject. A therapy plan selector (30) is configured to select one of the plurality of therapy plans for use in a therapy session based on a preparatory image acquired preparatory to the therapy session.

Abstract: An interactive image analysis system includes an image visualization subsystem (1) for visualizing an image (8). An indicated position determiner (2) is arranged for determining an indicated position of a pointing device with respect to the image(8). A result determiner (3) is arranged for determining a result of a local image processing of the image (8) at the indicated position. A display subsystem (4) displays either at least part of the result of the local image processing (406) or a visible mark (407), based on the image processing result. The result of the local image processing is indicative of the presence or absence of an object (403) at or near the indicated position (404, 405), and the display subsystem (4) is arranged for displaying the visible mark (407) in the absence of such an object (403) at or near the indicated position (405).

Abstract: A method includes determining a registration transform between first three dimensional pre-scan image data and second three dimensional pre-scan image data based on a predetermined registration algorithm. The method further includes registering first volumetric scan image data and second volumetric scan image data based on the registration transform. The method further includes generating registered image data. A system (100) includes a pre-scan registerer (122) that determines a registration transform between first three dimensional pre-scan image data and second three dimensional pre-scan image data based on a predetermined registration algorithm. The system further includes a volume registerer (126) that registers first volumetric scan image data and second volumetric scan image data based on the registration transform, generating registered image data.

Abstract: A method for processing image data includes obtaining a first set of 3D volumetric image data. The 3D volumetric image data includes a volume of voxels. Each voxel has an intensity. The method further includes obtaining a local voxel noise estimate for each of the voxels of the volume. The method further includes processing the volume of voxels based at least on the intensity of the voxels and the local voxel noise estimates of the voxels. An image data processor (124) includes a computer processor that at least one of: generate a 2D direct volume rendering from first 3D volumetric image data based on voxel intensity and individual local voxel noise estimates of the first 3D volumetric image data, or registers second 3D volumetric image data and first 3D volumetric image data based at least one individual local voxel noise estimates of second and first 3D volumetric image data sets.

Abstract: A method includes obtaining 3D pre-scan image data generated from a scan of a subject. The 3D pre-scan image data includes voxels that represent a tissue of interest. The method further includes generating a 2D planning projection image showing the tissue of interest based on the 3D pre-scan image data. A system includes a 2D planning projection image from 3D pre-scan image data generator (218). The 2D planning projection image from 3D pre-scan image data generator obtains 3D pre-scan image data generated from a scan of a subject. The 3D pre-scan image data includes voxels that represent a tissue of interest. The 2D planning projection image from 3D pre-scan image data generator further generates a 2D planning projection image showing the tissue of interest based on the 3D pre-scan image data.

Abstract: A method image data processor (318) includes a shape likelihood determiner (402) that processes voxels of image data and determines a likelihood that a voxel represents predetermined tissue of interest for a plurality of the voxels based on a shape of a tissue represented by the voxel, an opacity determiner (406) that determines an opacity suppression for each of the plurality of voxels based on the likelihood, a re-formatter (410) that re-formats the image data based on the determined opacity suppression, generating opacity suppressed re-formatted data, and a rendering engine (412) that visually presents the opacity suppressed re-formatted data.

Abstract: A method for reformatting image data includes obtaining volumetric image data indicative of an anatomical structure of interest, identifying a surface of interest of the anatomical structure of interest in the volumetric image data, identifying a thickness for a sub-volume of interest of the volumetric image data, shaping the sub-volume of interest such that at least one of its sides follows the surface of interest, and generating, via a processor, a maximum intensity projection (MIP) or direct volume rendering (DVR) based on the identified surface of interest and the shaped sub-volume of interest.

Abstract: A system is disclosed for quantitative analysis of perfusion images comprising image elements having intensity values associated therewith. The system comprises a frequency distribution computing subsystem (1) for computing a plurality of frequency distributions of the intensity values of at least part of the images. The system comprises a perfusion information extractor (2) for extracting information relating to perfusion from the plurality of frequency distributions. The perfusion information extractor (2) comprises a shift detector (3) for detecting a shift of the intensity values of the frequency distribution. The perfusion information extractor (2) is arranged for extracting the information relating to perfusion, based on the detected shift. A user interface element (8) enables a user to indicate a boundary between the core region and the rim region by a single degree of freedom. A vesselness subsystem (9) associates a vesselness value with an image element.

Abstract: An processor (118) includes a bullous emphysema identifier (206) that processes voxels of the volumetric image data and identifies voxels corresponding to bullous emphysema, a two dimensional projection image generator (206) that generates a 2D bullous emphysema projection image based on the voxels corresponding to bullous emphysema, wherein an intensity of a contour of a bulla in the 2D bullous emphysema projection image is based on a size of the bulla, and a feature highlighter (210) that highlights the bullous emphysema in the 2D bullous emphysema projection image using second first indicia.

Abstract: The present invention provides for means for linking breast lesion locations across imaging studies. In particular, a generic three-dimensional representation of the female breast is used. Automatic translation of the lesion location into standard clinical terminology and aligning the breast model with individual patient images is comprised. Moreover, a mechanism for linking image locations showing a lesion to a location in the breast model is presented. If desired, a region of interest can be calculated by a region of interest definition module that predicts a region of interest of a known lesion in terms of the breast model representation in a new imaging study.