Abstract: A method for reconstructing a signal from incomplete data in a signal processing device includes acquiring incomplete signal data. An initial reconstruction of the incomplete signal data is generated. A reconstruction is generated starting from the initial reconstruction by repeating the steps of: calculating a sparsity transform of the reconstruction, measuring an approximation of sparsity of the reconstruction by applying an m-estimator to the calculated sparsity transform, and iteratively optimizing the reconstruction to minimize output of the m-estimator thereby maximizing the approximation of sparsity for the reconstruction. The optimized reconstruction is provided as a representation of the incomplete data.

Abstract: A method for volume rendering a volumetric dataset with multiple graphics processing units (GPUs) coupled to a computer system, comprises building a block hierarchical structure of blocks for the volumetric dataset, the block hierarchy comprising a block sequence; partitioning the block sequence into a plurality of groups; determining a target work load for each GPU; allocating each group of the plurality to a respective GPU in accordance with the target load; rendering respective intermediate images by the respective GPUs; and compositing for a final image by blending the respective intermediate images.

Abstract: A method for processing image data for segmentation includes receiving image data. One or more seed points are identified within the image data. Intensity and texture features are computer based on the received image data and the seed points. The image data is represented as a graph wherein each pixel of the image data is represented as a node and edges connect nodes representative of proximate pixels of the image data and establishing edge weights for the edges of the graph using a classifier that takes as input, one or more of the computed image features. Graph-based segmentation such as segmentation using the random walker approach may then be performed based on the graph representing the image data.

Abstract: A method for displaying medical image data includes receiving medical image data including a myocardium. An endocardial contour is automatically segmented from the received medical image data. A center of mass of the automatically segmented endocardial contour is determined. A plurality of equiangular projections is defined beginning from the center of mass and projecting outwardly and cross the endocardial contour. A plurality of normal projections that correspond to the plurality of equiangular projections is defined. Each normal projection begins from an end of a corresponding equiangular projection and extends for a predetermined length, crossing the endocardial contour at a right angle. Dynamics of the myocardium along each normal projection are displayed as a function of time.

Abstract: A method wherein images of different types of objects within a class are partitioned into region stacks. For each one of the stacks, the method: (a) applies a template to extract fragments having a predetermined size and one of a plurality of different spatial orientations, to generate extracted templates; (b) determines, from the extracted templates, a most frequent one thereof having only a first number of fragments with a common spatial orientations; (c) records the number of images having the determined most frequent extracted template; (d) repeats (b) and (c) with successively increasing number of fragments until the number of recoded images falls below a threshold; and (e) selects as a master extracted template the one of the most frequent templates having the largest recorded number of fragments. The master extracted templates for the stacks are combined into a map that is then compared with background images to remove extracted templates matching segment in the background.

Abstract: A method (100) for positioning and operating components (18, 22) of an X-ray C-arm system (10) during repeated angiographic medical procedures.

Abstract: A telecommunications system including a plurality of switches defining an Ethernet ring; a plurality of virtual local area networks defined on the Ethernet ring, defining a number of virtual local area networks (VLANs) equal in number to the number of links; and a ring recovery system configured to recover from a link failure by rerouting traffic to a destination on the Ethernet ring via a VLAN not including a failed link.

Abstract: Mip-map construction is provided for three-dimensional rendering from an anisotropic dataset. One or more mip-map levels are generated by down sampling in the world space rather than texture space. The down sampling may be by an arbitrary scale factor rather than a power of two. For example, the voxels may be down sampled along one dimension by less than half (e.g., 16 to 12). The scale factors may be different along different dimensions. This non-uniform reduction in voxels may result in the mip-map being more isotropic than the anisotropic dataset.

Abstract: A method for object detection from a visual image of a scene. The method includes: using a first order predicate logic formalism to specify a set of logical rules to encode contextual knowledge regarding the object to be detected; inserting the specified logical rules into a knowledge base; obtaining the visual image of the scene; applying specific object feature detectors to some or all pixels in the visual image of the scene to obtain responses at those locations; using the obtained responses to generate logical facts indicative of whether specific features or parts of the object are present or absent at that location in the visual image; inserting the generated logical facts into the knowledge base; and combining the logical facts with the set of logical rules to whether the object is present or absent at a particular location in the scene.

Abstract: A method for monitoring left ventricular (LV) myocardial wall thickness. The method includes: obtaining real time images of a periodically spatially changing myocardium and segmenting the myocardium in such images; calculating wall thickness of the myocardium from each one of the obtained images; and performing a dynamic harmonic analysis of the calculated thickness to determine spatial changes in the thickness of the wall of the myocardium. The method applies the calculated wall thickness to a predictor to determine changes in the thickness of the wall of the myocardium. The method applies the calculated wall thickness to a predictor to determine the periodicity the myocardium.

Abstract: A method for fusing a plurality of images. The method includes: acquiring the plurality of images from a plurality of different modalities, each one of the images having a different reference space; and fusing the plurality of images into a common reference space, such common reference space being different from the reference space of each one of the plurality of acquired images. Thus, with such method, a unified process is provided for handling fusion across multiple clinical interventional and/or surgery (i.e., intra-operative) procedures.

Abstract: Multiple volumes that are to be aligned to form a single volume are processed. The system and method use an equalization step, a edge detection step and a correlation step to determine the overlapping positions between the first volume and the second volume of a volume pair having a maximum correlation value, and the best alignment of the first volume and the second volume of the volume pair is determined by the correlation value. A coarse correlation step using lower resolution volumes can be performed first followed by a fine correlation step using higher resolution images to save processing time. Initial preprocessing steps such as volume shearing can be performed. Equalization involves equalizing voxel size and edge detection can be performed using a Canny edge detector.

Abstract: A method for providing a tool for analyzing an abnormality affixed to a human organ. The method includes: obtaining an image of the organ with the abnormality; separating the image of the abnormality from the image of the organ with the abnormality; mapping a surface of the separated image of the abnormality onto a homeomorphic equivalent template, such template being topologically equivalent to the surface. In one embodiment, the mapping is a continuous, bijective, mapping having a continuous inverse mapping characteristic.

Abstract: A system and method for operating a communications system network, the method including operating an access point (AP) acting as a network controller in a frequency hopping network, the AP communicating with other communication devices of the network over m number of frequencies using a hopping sequence of at least some of the m number of frequencies and a dwell time d for the plurality of frequencies; and operating a communication device seeking to establish synchronized communication with other communication devices of the frequency hopping network without any cross-AP coordination, the communication device scanning all of the m number of frequencies using a scanning time s for each of the m number of frequencies; and, wherein the scanning time s is no greater than 1/m of the AP dwell time d.

Abstract: A method for detection of the position and orientation of the tip of a needle-like medical device inserted into a tissue of a patient using scanning apparatus. The method obtains a first scan of the tissue correlating the needle-like medical device with a plurality of needle-like templates, each one having a different angular orientation to obtain an feature image of the device; obtains eigenvalues and an eigenvector of image to obtain the angular orientation of an image plane for a subsequent scan; transforms the orientation of the device in the determined image plane into scanning system reference coordinates with the longitudinal axis of the needle like device having a predetermined orientations with respect to the reference coordinate system; and makes observations along each of a sequence of lines transverse to the longitudinal axis of the image of the device in the determined plane to detect the tip of the device.

Abstract: A method of direct volume rendering is provided comprising combining ambient occlusion volumes terms from a plurality of different filtered volumes using filters with different radii. During an ambient occlusion computation phase, the method obtains ambient occlusion terms from a plurality of different filtered volumes and, combining the ambient occlusion terms from the plurality of different filtered volumes into a composite ambient volume occlusion. During a subsequent volume rendering phase, data acquired from the subject is processed using the composite ambient volume occlusion to obtain a shaded rendition of an image of the subject.

Abstract: Described herein is a system and method for facilitating large volume data processing and rendering. An exemplary system includes at least one processor coupled to a first memory, wherein the processor is configured to organize the large volume data in the first memory into one or more bricks. In addition, at least one graphics processing unit (GPU) is coupled to the processor and a second memory. The GPU is configured to process at least one or more bricks transferred from the first memory to the second memory to produce intermediate processing results, and to further render the intermediate processing results.

Abstract: A method for deformable registration including determining a vector field from a two-dimensional matching of a volume of an object of interest and a two-dimensional image of the object of interest, providing a deformation profile, and finding a volume deformation that maps to a state of the two-dimensional image, wherein the deformation is parameterized by the vector field and control points of the deformation profile to find a control point configuration of the volume deformation.

Abstract: A method is disclosed for the analysis of scenarios where there are dynamically occurring objects capable of occluding each others. Application of the method in vision systems is also disclosed. Methods for incorporating visibility constraints for occluding scenarios are provided in a multi-camera setting. Other static constraints such as image resolution and field-of-view, and algorithmic requirements such as stereo reconstruction, face detection and background appearance are also addressed. A generic framework for sensor planning is also provided.

Abstract: A recognition pipeline automatically partitions a 3D image of the human body into regions of interest (head, rib cage, pelvis, and legs) and correctly labels each region. The 3D image is projected onto a 2D image using volume rendering. The 3D image may contain the whole body region or any subset. In a learning phase, training datasets are manually partitioned and labeled, and a training database is computed. In a recognition phase, images are partitioned and labeled based on the knowledge from the training database. The recognition phase is computationally efficient and may operate under 2 seconds in current conventional computer systems. The recognition is robust to image variations, and does not require the user to provide any knowledge about the contained regions of interest within the image.