Abstract: A method comprising using at least one hardware processor for computing a patch distinctiveness score for each of multiple patches of a medical image, computing a shape distinctiveness score for each of multiple regions of the medical image, and computing a saliency map of the medical image, by combining the patch distinctiveness score and the shape distinctiveness score.

Abstract: A method comprises receiving from a first data source first recognition results which are associated with the first data source, and receiving from a second data source second recognition results which are associated with the second data source. The method further comprises, processing a first set of confidence levels associated with the first recognition results to provide a first set of normalized confidence levels associated with the first data source, and processing a second set of confidence levels associated with the second recognition results to provide a second set of normalized confidence levels associated with the second data source. The method also comprises storing the first set of normalized confidence levels associated with the first data source in a first table of normalized confidence levels and the second set of normalized confidence levels associated with the second data source in a second table of normalized confidence levels.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: A system and a method for real-time detection of a moving object on a travel path in a geographical area is provided. The system and method may also be used to track such a moving object in real-time. The system includes an image capturing device for capturing successive images of a geographical area, a geographical reference map comprising contextual information of the geographical area, and a processor configured to calculate differences between successive images to detect, in real-time, a moving object on the travel path. The method includes capturing successive images of the geographical area using the image capturing device, geo-registering at least some of the successive images relative to the geographical reference map, and calculating differences between the successive images to detect, in real-time, an object.

Abstract: An X-ray imaging apparatus includes an image separator configured to extract a first tissue image having a small amount of motion of a tissue, the small amount of motion being smaller than a threshold amount of motion, and to extract a second tissue image with a large amount of motion of a tissue, the large amount of motion being larger than the small amount of motion, from a plurality of image frames, and an image processor configured to correct the second tissue image according to the large amount of motion of the tissue.

Abstract: In one aspect, a method of detecting at least on feature associated with a blood vessel in at least one image of at least one blood vessel using a matched filter adapted to respond to the at least one feature is provided. The method comprises applying a scale detection filter to selected voxels in the at least one image to determine a scale for the matched filter at each of the selected voxels, determining an orientation for the matched filter at each of the selected voxels, wherein determining the orientation is assisted by using the scale determined at each of the selected voxels, applying the matched filter at each of the selected voxels at the scale and the orientation determined at each of the selected voxels to obtain a filter response at each of the selected voxels, and analyzing the filter response at each of the selected voxels to determine if the respective voxel corresponds to the at least one feature.

Abstract: A method for detecting variable message traffic signs for a vehicle, includes: reading in a vehicle position, comparing the vehicle position to position information of at least one variable message traffic sign in order to determine a presence of a variable message traffic sign in a predefined area around the vehicle and in response to provide a proximity information, and varying a detection instruction of information of a variable message traffic sign in response to the proximity information to detect a variable message traffic sign.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: A method for assessing fibrosis in a tissue is proposed. The method uses a test image which is an image of the tissue and comprises identifying, from the test image, a portal collagen area, a septal collagen area and a fibrillar collagen area respectively comprising pixels representing portal collagen, septal collagen and fibrillar collagen of the tissue, obtaining quantitative values of one or more features for each identified area based on characteristics of the identified area in the test image and assessing fibrosis using the quantitative values obtained for all the identified areas.

Abstract: Velocity controllers in accordance with embodiments of the invention enable velocity estimation for tracked objects. One embodiment includes a tracker controller, including: a processor; and a memory containing: a velocity tracker application; a state space describing relationships between measured locations, calculated locations, and changes in locations, where the calculated locations in the state space correspond to unoccluded points on the surface of the tracked object; wherein the processor is configured by the velocity tracker application to: pre-process the state space to identify a tracked object; estimate a velocity of the tracked object using a location history calculated from the measured locations of the tracked object within the state space and a motion model calculated from the state space; and return the velocity of the tracked object.

Abstract: A method comprising using at least one hardware processor for computing a patch distinctiveness score for each of multiple patches of a medical image, computing a shape distinctiveness score for each of multiple regions of the medical image, and computing a saliency map of the medical image, by combining the patch distinctiveness score and the shape distinctiveness score.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: The present invention relates to a fingerprint sensing device for sensing a fingerprint pattern of a finger, the fingerprint sensing device comprising at least a first sensing structure and a second sensing structure; and at least a first charge amplifier and a second charge amplifier. Each charge amplifier comprises: a first input; a second input; an output; and at least one amplifier stage between the first and second inputs, and the output. The output is capacitively coupled to the first input. The first input of the first charge amplifier is connected to the first sensing structure; the first input of the second charge amplifier is connected to the second sensing structure; and the output of the first charge amplifier is capacitively coupled to the first input of the second charge amplifier to suppress the common mode component.

Abstract: A method and a system for analyzing a target in a stereo image by displaying the stereo image using a cascade structure are disclosed. The method includes for the input stereo image, generating, based on a first relevant feature, rule or model of the stereo image, at least a first first-level structure map, each of the first first-level structure maps being generated based on an individual tolerance level of the first relevant feature, rule or model, and each of the first first-level structure maps including the target at an individual first division level; and at least partly integrating the first first-level structure maps and analyzing the target in the stereo image, to obtain a structure map of a first-level target analysis result including the target.

Abstract: A method of producing a textured or pseudo-3D image of one or more map objects is provided comprising acquiring at least one image representing at least part of the one or more map objects. Laser scan data is acquired for the at least one map object, the laser scan data representing distances from a laser scanner to one or more points on at least one surface of the at least one map object. Texture or lighting data associated with the at least one map object is generated from the laser scan data, and the texture or lighting data and the image is processed in order to generate at least one textured or pseudo 3D image at least partially representing the one or more map objects.

Abstract: Retinal vessel extraction on color images of eyes are disclosed. In one embodiment, the method comprises performing alpha matting on a multi-dimensional feature set derived from image data of a first image and performing retinal vessel extraction, including performing segmentation on the image by separating foreground and background image data from the first image using an output from the alpha matting.

Abstract: A method for analyzing related images corresponding system and vehicle including such system as well as a computer program product for executing the method. The method comprises obtaining at least a first and a second image, defining a pixel patch in the first image for which a correlation shall be calculated, calculating matching cost values between each pixel of the pixel patch in the first image and its corresponding pixel in each of a plurality of pixel patches in the second image, wherein the pixel patches in the second image differ in position in the second image and include the pixel patch with a target position, aggregating the matching cost values of those corresponding pixels of all patches in the second image which match best to generate an aggregation window associated with the target position, and producing a signal including information on the target position.

Abstract: An image processing apparatus includes a scatter simulation processor which processes measured sinograms generated from imaging data acquired for an imaging subject by an imaging apparatus to produce a scatter sinogram that represents a shape of scatter contribution. A scatter scaling processor utilizes a Monte Carlo simulation to determine a scatter fraction and scales the scatter sinogram to generate a scaled scatter sinogram that matches the scatter contribution in the measured sinogram. A reconstruction processor reconstructs the imaging data into an image representation using the scaled scatter sinogram for scatter correction.

Abstract: A system and method tracks touches in a healthcare environment in order to analyze paths of transmission and contamination for the purpose of eliminating and containing transmission of colonizing, drug-resistant pathogens. Touches are identified and tracked with the use of recording devices. Each touch is logged and a touch graph is generated to identify transmission paths.

Abstract: A method includes receiving a Computed Tomography (CT) image comprising a head of a subject from a CT scanner and detecting a first and a second petrous bone of the head in the CT image. The method further includes determining a nasion of the head in the CT image based on the first and the second petrous bone. The method also includes generating a reference plane of the head based on the nasion and the first and the second petrous bone.