Abstract: A computationally efficient dictionary learning-based term is employed in an iterative reconstruction framework to keep more spatial information than two-dimensional dictionary learning and require less computational cost than three-dimensional dictionary learning. In one such implementation, a non-local regularization algorithm is employed in an MBIR context (such as in a low dose CT image reconstruction context) based on dictionary learning in which dictionaries from different directions (e.g., x,y-plane, y,z-plane, x,z-plane) are employed and the sparse coefficients calculated accordingly. In this manner, spatial information from all three directions is retained and computational cost is constrained.

Abstract: The approaches presently disclosed provide for fault-interpretation in a seismic volume with computer assistance, allowing automatic or semi-automatic determination of a fault surface and associated displacement across the fault. The present fault interpretation approach uses pattern matching algorithms and does not require prior interpretation of the stratigraphic horizons. In certain implementations the fault interpretation approach estimates the 3D fault surface as part of a joint fault surface location and displacement optimization process.

Abstract: A method includes retrieving a seismic data set, receiving training data that includes one or more seed points of an identified geobody, determining a geobody trajectory of the identified geobody, based on the one or more seed points of the identified geobody, displaying the geobody trajectory, receiving inputs expanding the geobody trajectory, shrinking the geobody trajectory, confirming the geobody trajectory, or a combination thereof, training a classification algorithm using the geobody trajectory, running the classification algorithm on the seismic data set, receiving an output of one or more sets of voxels from the classification algorithm, skeletonizing the one or more sets of voxels to present the one or more sets of voxels as a set of possible geobody trajectories, and retraining the classification algorithm based on feedback received from a reviewer.

Abstract: A method of identifying bounded hydrocarbon formations of interest in a seismic data set includes obtaining a seismic data set, pre-processing the seismic data set, inputting the plurality of graphical model inputs and one or more rules to a graphical model, wherein the rules define a relationship between a plurality of attributes of a bounded hydrocarbon formation, running a graphical model on the graphical model inputs, post-processing the graphical model outputs, and displaying the ranked clusters in order of rank.

Abstract: A monitoring system for determining component wear is provided. The monitoring system includes a memory device configured to store a reference model of a component and a component wear monitoring (CWM) device configured to receive a component image of a first component being inspected, detect a plurality of manmade structural features in the received component image, adjust the component image to mask out at least some of the plurality of manmade structural features from the received component image, compare the adjusted component image with the reference model to determine one or more potential defect areas in the first component, analyze each of the one or more defect areas to determine a state of the potential defect areas, and output the state of the one or more potential defect areas to a user.

Abstract: The present invention provides methods for antigen and/or bioactive molecule delivery to antigen presenting cells utilizing ASC specks as vehicles; 1) the ASC speck composition is made of ASC protein(s) and the antigen and/or bioactive molecule(s) purified from cells as a compact micro-spherical structure; 2) purified micro-spherical ASC speck delivery vehicles are stable at 37° C. for more than 30 days; and 3) antigen and/or bioactive molecules carried by ASC specks can be efficiently phagocytosed by antigen presenting cells and their degradation in the lysosome allows antigen processing and presentation.

Abstract: A method includes accessing a seismic image comprising a plurality of features of interest. The method also includes defining a plurality of configuration files for a plurality of graphical models. The method further includes applying the plurality of graphical models to the seismic image. The method also includes generating a plurality of scores for each feature of interest, wherein each graphical model generates a score for each feature of interest. The method further includes combining the plurality of scores for each feature of interest into a plurality of combined scores, wherein each feature of interest has a combined score.

Abstract: A method for identifying a plurality of features of interest in a seismic image includes ranking each feature of interest. The method also includes modeling a relationship between the rank of each feature of interest and a user rating of the feature of interest. The method further includes updating the ranking of the plurality of features of interest, including (1) receiving a user rating for one feature of interest that has not been previously rated by a user; (2) updating the model of the relationship between the rank of each feature of interest and the user rating of the feature of interest based on the user rating; (3) applying the model to the ranking of the plurality of features of interest; and (4) repeating steps (1)-(3) until a termination criterion is met.

Abstract: A monitoring system for determining component wear is provided. The monitoring system includes a memory device configured to store a reference model of a component and a component wear monitoring (CWM) device configured to receive a component image of a first component being inspected, detect a plurality of manmade structural features in the received component image, adjust the component image to mask out at least some of the plurality of manmade structural features from the received component image, compare the adjusted component image with the reference model to determine one or more potential defect areas in the first component, analyze each of the one or more defect areas to determine a state of the potential defect areas, and output the state of the one or more potential defect areas to a user.

Abstract: A computationally efficient dictionary learning-based term is employed in an iterative reconstruction framework to keep more spatial information than two-dimensional dictionary learning and require less computational cost than three-dimensional dictionary learning. In one such implementation, a non-local regularization algorithm is employed in an MBIR context (such as in a low dose CT image reconstruction context) based on dictionary learning in which dictionaries from different directions (e.g., x,y-plane, y,z-plane, x,z-plane) are employed and the sparse coefficients calculated accordingly. In this manner, spatial information from all three directions is retained and computational cost is constrained.

Abstract: Approaches related to performing calibration of a CT scanner or of processes (e.g., correction and/or reconstruction) performed on acquired CT scan data are described. In certain described approaches, calibration is attained without performing a calibration scan using a dedicated calibration phantom. In certain embodiments, calibration is performed using a feature intrinsic to the imaged object, such as a jacket disposed about a drilled core sample.

Abstract: A method in one embodiment includes acquiring optical image information with a detection unit configured to be operably coupled to a patient. The optical image information corresponds to microcirculation of the patient. The method also includes generating a microcirculation map of microvasculature of the patient using the optical image information. Further, the method includes generating a quantitative microcirculation index based on the microcirculation map, the quantitative microcirculation index corresponding to a condition of the patient.

Abstract: System for analyzing scan data of a core sample includes an imaging system for obtaining images of a first segment and a second segment of the core sample, and one or more processors for receiving the images of the first segment and the second segment, and setting the images of the first segment adjacent to the images of the second segment coaxially in series to form a stacked image. The method includes receiving image data of segments of the core sample, determining values representative of one or more physical characteristics of the core sample, comparing the values to known reference information of a material similar to the material of the core sample, and determining the one or more physical characteristics of the core sample based at least in part on the comparison.

Abstract: An approach for seismic data analysis is provided. In accordance with embodiments of this approach, parallel regions within a volume of seismic data are modeled. Residual regions within the volumetric data set are identified, where the residual regions comprise those regions not modeled as parallel regions. The residual regions or a graphic derived from the residual regions are displayed for review.

Abstract: A method of analyzing a core sample from a wellbore by creating a visual composite image of the core sample that is based on a scan of the core sample. The scan directs radiation at the core sample, such as a computerized tomography (CT) scan, and obtains scan data by estimating radiation absorbed by material in the core sample. The composite image is made up of an arrangement of voxels, where each voxel represents a designated volume of the core sample, and is are assigned a value that corresponds to a measured value of radiation absorbed in the designated volume of the core sample.

Abstract: A system and method for monitoring operating conditions of tubes in a steam generator. The system comprises sensors, affixed to the tubes, for detecting one or more of mechanical strains, pressures, and temperatures in the tubes; or a camera positioned in the steam generator, the camera for capturing thermal images of the tubes; or both the sensors and the camera. The system also comprises one or more computers connected to the sensors, or the camera, or both the sensors and the camera, the computers for receiving one or more of the mechanical strains, pressures, temperatures, and thermal images, and monitoring the operating conditions of the tubes. The method comprises receiving, at one or more times, one or more of pressures, mechanical strains, temperatures, and infrared photon counts of the tubes; identifying segments of the tubes to which pertains the pressures, mechanical strains, temperatures, and infrared photon counts; and monitoring the operating conditions of the tubes.

Abstract: The approaches presently disclosed provide for fault-interpretation in a seismic volume with computer assistance, allowing automatic or semi-automatic determination of a fault surface and associated displacement across the fault. The present fault interpretation approach uses pattern matching algorithms and does not require prior interpretation of the stratigraphic horizons. In certain implementations the fault interpretation approach estimates the 3D fault surface as part of a joint fault surface location and displacement optimization process.

Abstract: The present invention relates to a novel method for an antigen and/or bioactive molecule delivery and a composition that functions in the antigen and/or bioactive molecule delivery comprising the ASC speck carrier and the antigen and/or bioactive molecule, carried by the ASC speck carrier.

Abstract: Improved systems and methods for the analysis of digital images are provided. More particularly, the present disclosure provides for improved systems and methods for the analysis of digital images of biological tissue samples. Exemplary embodiments provide for: i) segmenting, ii) grouping, and iii) quantifying molecular protein profiles of individual cells in terms of sub cellular compartments (nuclei, membrane, and cytoplasm). The systems and methods of the present disclosure advantageously perform tissue segmentation at the sub-cellular level to facilitate analyzing, grouping and quantifying protein expression profiles of tissue in tissue sections globally and/or locally. Performing local-global tissue analysis and protein quantification advantageously enables correlation of spatial and molecular configuration of cells with molecular information of different types of cancer.

Abstract: Methods and systems for digitally enhancing an initial image of a material to which a plurality of stains were previously applied, that generally comprise: unmixing the image into a plurality of individual reconstructed images, each individual image corresponding to one of the stains; estimating a residual image corresponding to the difference between the original image and the reconstructed images; adjusting one or more components of the individual images; mixing the adjusted components using one or more estimated mixing coefficients; and adding the residual image to the mixed adjusted components to generate an enhanced image.