Abstract: Disclosed in certain implementations is a catalysis composition that includes a metal catalyst and a support material impregnated with the metal catalyst.

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: A system for multi-modality breast imaging comprises a first shape model constructing sub-system (1) for constructing a first shape model of the breast as represented in a first image (9), in which the breast has its natural shape, a second shape model constructing sub-system (2) for constructing a second shape model of the breast as represented in a second image (10), in which the breast is compressed by using a compression paddle, and a deformation estimating sub-system (3) for estimating a volumetric deformation field (12) defining a mapping between the first image (9) and the second image (10) on the basis of the shape models and an elastic deformation model (11) of the breast, the deformation estimating sub-system (3) being arranged to estimate the volumetric deformation field (12) on the basis of a first tissue surface of the breast in the first image (9) and a second tissue surface of the breast in the second image (10).

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: 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: An imaging method for identifying abnormal tissue in the lung is provided, comprising the recording of slice images of the lung by means of X-ray radiation, recording of blood vessels, differentiation of blood vessels and abnormal tissue, segmentation of the abnormal tissue and display of the segmented abnormal tissue on an output device. In addition, a computer tomograph for identifying abnormal tissue in the lung is provided, having a radiation source for recording slice images of the lung and blood vessels by means of X-ray radiation, a computer unit for differentiating the blood vessels from the abnormal tissue and for segmenting the abnormal tissue, as well as an output device for displaying the segmented abnormal tissue.

Abstract: An imaging method for identifying abnormal tissue in the lung is provided, comprising the recording of slice images of the lung by means of X-ray radiation, recording of blood vessels, differentiation of blood vessels and abnormal tissue, segmentation of the abnormal tissue and display of the segmented abnormal tissue on an output device. In addition, a computer tomograph for identifying abnormal tissue in the lung is provided, having a radiation source for recording slice images of the lung and blood vessels by means of X-ray radiation, a computer unit for differentiating the blood vessels from the abnormal tissue and for segmenting the abnormal tissue, as well as an output device for displaying the segmented abnormal tissue.

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 method of identifying at least part of a pulmonary artery tree (402) comprises receiving (102) a bronchial tree structure (500) and receiving (104) a pulmonary vessel structure (400). A pair of a first bronchial segment (602) and a first vessel segment (604) is identified (106), wherein the first bronchial segment and the first vessel segment are adjacent with respect to position and orientation. The first vessel segment is identified (108) as arterial segment of the pulmonary artery tree. A spatial transformation is applied (110) such that the first bronchial segment and the first vessel segment substantially coincide (602?). Respective further vessel segments (606, 608) are identified (112) adjacent to bronchial segments (610, 612), wherein the bronchial segments are comprised in the bronchial tree.

Abstract: A data structure for use by a computer system for processing medical image data and representing at least one first region of a patient includes at least one computer-detected feature of interest. The data structure includes a first computer code that is executable to detect first data representing at least one second region included within a respective first region. At least one said feature of interest in said second region has a significant likelihood of representing a computer-detected false positive. The second computer code is executable to provide second data for enabling at least one said first region to be displayed on a display device, such that at least one said second region is displayed on the display apparatus differently from part of said first region not containing features of interest having a significant likelihood of representing computer-detected false positives.

Abstract: A system for analyzing an at least three-dimensional medical image comprises a lesion detector (51) for identifying a lesion (4) represented by the image. A surface detector (52) identifies at least part of a surface (5) of an object represented by the image. Means (53) are provided for establishing an orientation of the lesion (4) with respect to at least part of the surface (5), based on an output of the lesion detector (51) and an output of the surface detector (52). A model fitter (54) fits a model (6) to the lesion (4). The means (53) for establishing an orientation of the lesion (4) comprises a lesion orientation detector (56) for computing an orientation value (?) indicative of an orientation of the model (6) with respect to at least part of the surface (5).

Abstract: A structure and system for the adsorption of carbon dioxide from air, the system comprising a sorbent structure comprising a porous substrate having a porous alumina coating on the surfaces of said substrate, and the sorbent for carbon dioxide is embedded on the surfaces of said porous alumina coating. The substrate is preferably a porous monolith, formed from silica or mesocellular foam. The sorbent is an amine group-containing material, preferably loaded at 40 to 60 percent by volume relative to the porous alumina coating.

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 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 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: An apparatus produces image space data (35) indicative of the spatially varying strength of the vascular connections between locations in the image space and a lesion or other feature of interest. The data may be presented by way of a maximum intensity projection (MIP) display in which the brightness of the image represents the strength of the vascular connection.

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 interactive image analysis is disclosed, comprising 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).