Abstract: When registering multiple multidimensional images based on landmarks, the system improves the distribution and density of the points in correspondence across images, which are of crucial importance for the accuracy and reliability of the resulting registration transform. Projection of input corresponding point landmarks is performed in order to automatically generate additional point correspondences. The input existing landmarks may have been manually or automatically located in the input multiple images. Projection is performed from each source landmark along one or more determined projection directions onto one or more determined projection targets in each image. The projection target(s) can be explicitly materialized or implicitly defined. Candidate new points are identified at the locations where the projection ray paths intersect with the projection target(s).

Abstract: Systems, methods and computer program products, for identification of materials based on hyperspectral imagery, are disclosed. An example system comprises one or more processors, a memory, a library of spectral signatures, a receiver, a model generator, and a material identifier. The receiver module is configured to receive a first spectral signature corresponding to a region of interest contained in the hyperspectral image. The model generator is configured to create a model search space including one or more model signatures based on the spectral signatures in the library, wherein each of the one or more model signatures approximate the first spectral signature. The material identifier is a material identifier configured to calculate a probability associated with a presence or absence of a material within the first spectral signature, based on the first spectral signature and the model search space and determine the presence or absence of the material in the region of interest based on the probability.

Abstract: An apparatus comprises: an imaging system (10) configured to acquire emission data from a cyclically varying element; a monitoring instrument (20, 22) configured to measure the cyclical varying of the cyclically varying element; and an electronic device (40) configured to locate an image feature corresponding to the cyclically varying element in the acquired emission data based on correlation of time variation of the emission data with the cyclical varying of the cyclically varying element measured by the monitoring instrument. The located image feature may be verified by: thresholding a projection image generated from the emission data to generate a mask image; identifying in the mask image one of (i) a hollow circular feature, (ii) a hollow oval feature, (iii) a circular cavity feature, and (iv) an oval cavity feature; and verifying the located image feature based on whether the identifying operation is successful.

Abstract: A method for coregistering images involves defining middle paths through image objects depicting tissue slices of needle biopsies. First landmarks are defined on a first middle path through a first image object in a first digital image of a first tissue slice, and second landmarks are defined on a second middle path through a second image object of a second digital image of a second tissue slice. Individual first landmarks are associated with individual second landmarks. A first pixel in the first object is coregistered with a second pixel in the second object using multiple first and second landmarks. The first image is displayed in a first frame on a graphical user interface, and the second image is displayed in a second frame such that the first pixel is centered in the first frame, the second pixel is centered in the second frame, and the images have the same orientations.

Abstract: Provided is an apparatus and method for generating a virtual view in an image reconstruction system which uses multiple views. In the image reconstruction system which uses multiple views, the virtual view generating apparatus may receive original view projection images that are generated by emitting X rays toward an object via original views, three-dimensionally reconstruct the object by using the original view projection images, generate original view reprojection images by virtually emitting X-rays toward the reconstructed 3D object via the original views, estimate a motion of the reconstructed 3D object with respect to at least two of the original view reprojection images using a block-based motion estimation scheme, and generate an intermediate view projection image with respect to the at least two of the original view reprojection images by using information relating to the estimated motion.

Abstract: Method for building a seismic imaging velocity model, particularly at the boundary of a geo-body, and to perform imaging, by taking into account the elastic reflection and scattering information in the seismic data. More illumination of the base and flanks (or in general, the boundary) of the geo-body is provided from (a) inside of the geo-body (502), with elastically converted waves at the geo-body boundary used (via elastic RTM flooding); and (b) from outside the geo-body (503), by utilizing prism waves with elastic RTM to handle the phase correctly in the model building step. The increased illumination and correct elastic phase are used for geo-body boundary determination. Elastic RTM is then applied (505), along with the elastically derived imaging velocity model, to maximize the use of elastic energy in the imaging step, and to obtain the correct image with the correct phase.

Abstract: The DCC (Data Consistency Condition) algorithm is used in combination with MLAA (Maximum Likelihood reconstruction of Attenuation and Activity) to generate extended attenuation correction maps for nuclear medicine imaging studies. MLAA and DCC are complementary algorithms that can be used to determine the accuracy of the mu-map based on PET data. MLAA helps to estimate the mu-values based on the biodistribution of the tracer while DCC checks if the consistency conditions are met for a given mu-map. These methods are combined to get a better estimation of the mu-values. In gated MR/PET cardiac studies, the PET data is framed into multiple gates and a series of MR based mu-maps corresponding to each gate is generated. The PET data from all gates is combined. Once the extended mu-map is generated the central region is replaced with the MR based mu-map corresponding to that particular gate.

Abstract: Useful material for making low-dose radiographing and an increase in the image quality compatible with each other is provided. An image analysis unit of a central server derives the granularity of a region of interest by analyzing an X-ray image transmitted from a client terminal. A storage processing unit stores the granularity, the X-ray image, and radiographing information in a storage device so as to be associated with each other. A search processing unit searches for the radiographing information, which is matched with search conditions designated from the client terminal, and granularity, which is associated with the radiographing information, from the storage device. A statistical data generation unit generates a scatter plot, which has granularity on the vertical axis and a radiation dose on the horizontal axis, as statistical data. The statistical data is transmitted to the client terminal and is displayed on a display of the client terminal.

Abstract: A method and a computed tomography system are disclosed for generating tomographic image datasets of a measurement object. The computed tomography system includes at least two simultaneously operable sets of detector elements which jointly scan a measurement object from a multiplicity of projection angles in an integrating manner on the one hand and an energy-resolving manner on the other hand. In at least one embodiment, the method includes determining a first projection dataset from measurement data recorded in an integrating manner. Further, at least one second projection dataset is determined from energy-resolved measurement data, and in addition a weighted tomographic result image dataset is calculated based on weighted use of the first and the second projection dataset, the weighting being applied to the projection data or the tomographic image data reconstructed therefrom.

Abstract: Systems and methods that allow transfer criteria to be defined based on one or more of several attributes, such as a particular user, site, or device, as well as whether individual images and/or image series are classified as thin slices, and applied to medical images in order to determine which images are downloaded, viewed, stored, and/or any number of other actions that might be performed with respect to particular images.

Abstract: Provided herein are systems and methods for outdoor lighting, which generally include two or more light sources. One light source is a monochromatic light source producing a light with a peak wavelength of about 580 nm or above. A second light source is a polychromatic light source producing a green-tint white light. During a standby operational mode, a control system maintains the first light source illuminated. The control system, which includes an integrated imaging system, illuminates the second light source when the imaging system identifies a target in an illumination area. Methods of preparing and using such outdoor lighting system are also provided.

Abstract: A region segmented image data creating system for histopathological images is provided. The region segmented image data creating system is capable of creating region segmented image data required to generating a region segmented image. A first bi-level image data creating section 12 creates first bi-level image data, in which nucleus regions can be discriminated from other regions, from histopathological image data. A second bi-level image data creating section 14 creates second bi-level image data, in which a background regions can be discriminated from other regions, from the histopathological image data. A three-level image data creating section 15 clarifies cytoplasm regions by computing a negative logical addition of the first bi-level image data and the second bi-level image data, and to create three-level image data as the region segmented image data.

Abstract: A secondary curve, the ends of which coincide with the inner corner and the outer corner of the eye, is determined successively, and the total of the edge values of the pixels overlapping the secondary curve is calculated as an evaluation value. Next, a characteristic curve is generated on the basis of data made up of the calculated evaluation value and the Y-coordinate of the intersection between the secondary curve and a straight line passing through the center of a line segment whose ends coincide with the inner corner and the outer corner of the eye. Then, the reference positions for the upper eyelid and the lower eyelid of the eye are set on the basis of the result of an attempt to detect a pixel group occurring because of the red-eye effect in a search area defined on the basis of peaks in the characteristic curve.

Abstract: An imaging system captures images of a human submental profile in a dimension controlled environment and utilizes image analysis algorithms for detecting submental changes. Instead of implementing a strict posture control of a subject, the imaging system allows the subject to freely move his/her head in an up-and-down direction and a high speed camera captures this movement through a series of images at varying head-to-shoulder angles. The image analysis algorithms may accurately compare before and after images at similar head-to-shoulder angles to identify changes in a human submental profile using a series of measurements and checkpoints.

Abstract: An apparatus and method for a PET/MR system having a PET scanner and an MR scanner. A patient may be advanced through the system in sequential stations, with multiple transverse slices defined within at least one of the stations in which each slice is offset a distance ?z from the station centerline. The method may comprise the steps of: defining a center and an annulus thereabout for each slice, wherein the annulus has an inner radius Reff and an outer radius Rout; conducting attenuation correction of the PET images using only MR data from the region within the inner radius, only PET data from the region outside the outer radius, and a combination of PET and MR data from the region of the annulus; and varying Reff as a function of ?z for selected slices within the station.

Abstract: A tomographic system includes a gantry having an opening for receiving an object to be scanned, a radiation source, a detector positioned to receive radiation from the source that passes through the object, and a computer programmed to acquire a plurality of helical projection datasets of the object, reconstruct a first image using the acquired plurality of helical projection datasets and using a first reconstruction algorithm, reconstruct a second image using the acquired plurality of helical projection datasets and using a second reconstruction algorithm that is different from the first reconstruction algorithm, extract frequency components from each of the first and second images, sum the frequency components from each of the first and second images, and inverse transform the sum of the frequency components to generate a final image.

Abstract: In one embodiment, one or more computing devices receive an identifying feature of a target entity, the identifying feature requiring that the target entity to be in a line of sight of a camera for the camera to recognize the identifying feature; locate the target entity using the camera based on the identifying feature; and track the target entity using the camera based on the identifying feature.

Abstract: There is provided a mobile body track identification system that determines which mobile body matches which detected track with a high precision irrespective of frequent interruption of tracks of a mobile body detected in a tracking area. Herein, hypotheses are generated by use of sets of track-coupling candidate/identification pairs, which combines track-coupling candidates, combining tracks of a mobile body detected in a predetermined time in the past, and identifications of the mobile body and which satisfies a predetermined condition. Next, identification likelihoods are calculated as likelihoods of detecting identifications in connection with tracks indicated by track-coupling candidates included in track-coupling candidate/identification pairs ascribed to each of the selected hypotheses. Identification likelihoods are integrated per each track-coupling candidate/identification pair, thus calculating an identification likelihood regarding the selected hypothesis.

Abstract: The invention relates to a method and device for locating persons (12, 14) in a prescribed area (10) monitored by at least one image acquisition device (3), wherein the image acquisition device (3) continuously generates images of the prescribed monitored area (10), said images being analyzed and evaluated by means of at least one image-processing method and/or image analysis method, and to a computer program product and data processing program. According to the invention, the generated images of the prescribed area (10) are analyzed and evaluated for detecting and locating persons (12, 14), wherein detected and located persons (12, 14) are classified and associated with at least one prescribed group, wherein the association with a group is performed depending on prescribed clothing features.

Abstract: A method for error correction for segmented three dimensional image data. The method includes receiving segmented three dimensional image data, the segmented three dimensional image data being divided into a plurality of slices; correcting at least one contour of the segmented three dimensional image data on at least one slice according to a command from a user to form a corrected contour; and automatically interpolating a correction represented by the corrected contour to a plurality of slices of the segmented three dimensional image data.