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: 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.

Abstract: A system for generating a slicing scheme for slicing a specimen is disclosed. A parameter unit (1) is arranged for determining at least one parameter of a lesion in a specimen, based on an image dataset (14) representing at least part of the specimen. A slicing scheme unit (2) is arranged for determining a slicing scheme (15) for pathologic examination of the specimen, based on the at least one parameter. A specimen preparation unit (3) is arranged for determining a slicing preparation protocol, based on the image dataset, wherein the slicing preparation protocol comprises a representation of preparation steps relating to the specimen. A segmentation unit (5) is arranged for segmenting the lesion in the image dataset (14), wherein the parameter unit (1) is arranged for determining the at least one parameter, based on the segmented lesion.

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

Abstract: The invention relates to a scan region determining apparatus (12) for determining a scan region of a subject to be scanned by a scanning system (10) like a computed tomography system. A spatial transformation defining a registration of an overview image and a template image with respect to each other is determined, wherein initially the overview image and the template image are registered by using an element position indicator being indicative of a position of an element of the subject with respect to the overview image. A template scan region is defined with respect to the template image, wherein a final scan region is determined by projecting the template scan region onto the overview image by using the determined spatial transformation. The registration and thus the determination of the spatial transformation are very robust, which improves the quality of determining the final scan region.

Abstract: A system for displaying a plurality of registered images is disclosed. A first viewport unit (1) displays a representation of a first image dataset (4) in a first viewport (201). A second viewport unit (2) displays a representation of a second image dataset (5) in a second viewport (202). A position indication unit (7) enables a user to indicate a position in the first dataset (4) displayed in the first viewport (201), to obtain a user-indicated position. A corresponding position determining unit (8) determines a position in the second image dataset (5) corresponding to the user-indicated position, to obtain a corresponding position in the second image dataset (5), based on correspondence information (9) mapping positions in the first image dataset (4) to corresponding positions in the second image dataset (5). The second viewport unit (2) displays an indication of the corresponding position in the second viewport (202).

Abstract: A system for selecting a region of interest in an image is provided. A user interface (1) is applied for receiving user input indicative of a region of interest (504) in an image (502). A slab selector (2) is provided for selecting a position and a thickness of a slab (503) of the image (502), based on a position and a size of the region of interest (504), the slab (503) comprising at least part of the region of interest (504). A visualization subsystem (3) is provided for visualizing the slab (503). The slab selector (2) is arranged for selecting the position and thickness of the slab (503) such that the slab (503) comprises the region of interest (504) and a thickness of the slab (503) corresponds to a size of the region of interest (504) in a thickness direction of the slab (503). The image comprises a dynamic image. The projection image (505) is obtained by processing voxel values of the dynamic image both along a ray and temporally.

Abstract: A method includes displaying an iconic image of the human body and a list of predetermined anatomical regions. The method further includes displaying, in response to a user selected anatomical region, a scan box over a sub-portion of the iconic image. The method further includes receiving an input indicative of at least one of a scan box location of interest or a scan box geometry of interest, with respect to the anatomical region, of the first user. The method further includes at least one of re-locating or changing a geometry of the first initial scan box, in response thereto, creating a first user defined scan box for the first user. The method further includes creating a first transformation between a first template image representative of the selected anatomical region and the iconic image with the first user defined scan box for the first user, and storing the first transformation.

Abstract: A system for associating acquired images with objects is disclosed. It comprises an image selector (1) for selecting a stored image from a database (5) comprising a plurality of stored images, the database (5) comprising an association (21) between the stored image (6) and an object of interest; an image scanner (2) for acquiring a new image (9) comprising a representation (10) of at least part of the object of interest, during an imaging session; a user interface (3) for enabling a user, during the imaging session, to indicate that the new image (9) is to be associated with the object of interest; and an associating subsystem (4) for creating an association (23) between the new image (9) and the object of interest in the database. The user interface (3) is arranged for enabling a user to select the object of interest from a plurality of objects of interest associated with the stored image (6).

Abstract: Image processing apparatus (100) for creating an overlaid presentation of a first input image (101) and a second input image (102) in an output image (108), the first input image comprising input values, the output image comprising vectors of output values, the vectors of output values representing colors of the output image, and the apparatus comprising an input (110) for obtaining the first input put image and the second input image, a rendering unit (140) configured for rendering the first input image in the output image by using a first mapping function for representing the input values in the vectors of output values, a predictor (120) configured for predicting the second input image from the first input image for obtaining a predicted second input image (104), a residual calculator (130) configured for calculating a residual image (106) from the second input image and the predicted second input image, the residual image comprising residual values representing prediction errors of the predicted second in

Abstract: Image processing apparatus 110 comprising a processor 120 for combining a time-series of three-dimensional [3D] images into a single 3D image using an encoding function, the encoding function being arranged for encoding, in voxels of the single 3D image, a change over time in respective co-located voxels of the time-series of 3D images, an input 130 for obtaining a first and second time-series of 3D images 132 for generating, using the processor, a respective first and second 3D image 122, and a renderer 140 for rendering, from a common viewpoint 154, the first and the second 3D image 122 in an output image 162 for enabling comparative display of the change over time of the first and the second time-series of 3D images.

Abstract: A planning tool, system and method include a processor (114) and memory (116) coupled to the processor which stores a planning module (144). A user interface (120) is coupled to the processor and configured to permit a user to select a path through a pathway system (148). The planning module is configured to upload one or more slices of an image volume (111) corresponding to a user-controlled cursor point (108) guided using the user interface such that as the path is navigated the one or more slices are updated in accordance with a depth of the cursor point in the path.

Abstract: A system 100 for enabling interactive annotation of an image 102, comprising a user input 160 for receiving a placement command 162 from a user, the placement command being indicative of a first placement location of a marker 140 in the image 102, and a processor 180 arranged for (i) applying an image processing algorithm to a region 130 in the image, the region being based on the first placement location, and the image processing algorithm being responsive to image portions which visually correspond to the marker 140 for establishing a plurality of match degrees between, on the one hand, the marker, and, on the other hand, a plurality of image portions within the region, (ii) establishing a second placement location in dependence on the plurality of match degrees and the respective plurality of image portions for matching the marker 140 to the region in the image, and (iii) placing the marker 140 at the second placement location in the image 102.

Abstract: A system (100) for processing a medical image (102), the system being arranged for establishing a region of interest in the medical image, and the system comprising segmentation means (120) for applying a plurality of different segmentation methods (124) to the region of interest for obtaining an associated plurality of segmentation results (122), visualization means (140) for simultaneously displaying the plurality of segmentation results to a user, and a user input (160) for receiving from the user a selection command (162) indicative of a selection of one of the plurality of segmentation results for establishing an associated one of the plurality of different segmentation methods as a selected segmentation method (164).

Abstract: When characterizing a tumor or lesion as malignant or benign, a system (10) receives an image of the lesion volume (50), employs a processor (12) to perform a raw segmentation of the image, the results of which are stored to memory (14). Then processor then executes a hole-filling procedure to fill in dark areas in the image of the lesion representing necrotic tissue that absorbed little or no contrast agent, and optionally a leakage removal procedure to remove image voxels associated with non-lesion tissue, e.g., blood vessels, in which the contrast agent was present during imaging, to generate a complete lesion volume. A voxel analyzer (18) assesses a number of voxels included in the raw segmentation of the lesion image, and the final segmentation (e.g., after filling and optional leakage removal). A segmentation comparator (20) computes a ratio of dark area voxels related to necrotic tissue detected after the raw segmentation to total voxels detected in the final image segmentation.

Abstract: A method, system and program product are provided for planning an intervention procedure in a body lumen. A CT scan of the body lumen is performed. A virtual rendering is created of the inside of the body lumen corresponding to an interventional camera image. Then a virtual tape corresponding to a planned path for the intervention procedure is projected onto a wall of the body lumen. The virtual tape is projected onto the lumen wall, which is relatively distant from the camera point on the virtual rendering, so the tape does not appear to oscillate like a central thread. Also, since the virtual tape is located on the lumen wall, it does not occlude the center of the lumen, allowing a user to better visualize the lumen during planning, during fly through, and even during an actual intervention.

Abstract: A system is provided for automatic selection of medical images. The system comprises an input (302) for receiving a temporal sequence of medical images acquired with a hand-held medical imaging device. An object detector (303) is provided for detecting an object in at least one of the images. An image selector (304) is provided for selecting an image in which the object has been detected by the object detector. A snapshot means (305) is provided for storing the selected image as a snapshot. Moreover, a hand-held medical imaging device is provided for generating the sequence of medical images.

Abstract: Image processing apparatus (100) for creating an overlaid presentation of a first input image (101) and a second input image (102) in an output image (108), the first input image comprising input values, the output image comprising vectors of output values, the vectors of output values representing colors of the output image, and the apparatus comprising an input (110) for obtaining the first input put image and the second input image, a rendering unit (140) configured for rendering the first input image in the output image by using a first mapping function for representing the input values in the vectors of output values, a predictor (120) configured for predicting the second input image from the first input image for obtaining a predicted second input image (104), a residual calculator (130) configured for calculating a residual image (106) from the second input image and the predicted second input image, the residual image comprising residual values representing prediction errors of the predicted second in

Abstract: A system for handling a specimen image is disclosed. An image input (1) is configured to receive a body image representing at least a portion of a living body and a specimen image representing a dissected portion of the living body. An alignment unit (2) is configured to compute an alignment of the specimen image with the body image, based on image content of the specimen image and/or the body image. A border detector (3) is operatively connected to the alignment unit (2) and configured to detect at least part of an outer border of the dissected portion in the specimen image.

Abstract: A system for associating acquired images with objects is disclosed. It comprises an image selector (1) for selecting a stored image from a database (5) comprising a plurality of stored images, the database (5) comprising an association (21) between the stored image (6) and an object of interest; an image scanner (2) for acquiring a new image (9) comprising a representation (10) of at least part of the object of interest, during an imaging session; a user interface (3) for enabling a user, during the imaging session, to indicate that the new image (9) is to be associated with the object of interest; and an associating subsystem (4) for creating an association (23) between the new image (9) and the object of interest in the database. The user interface (3) is arranged for enabling a user to select the object of interest from a plurality of objects of interest associated with the stored image (6).