Abstract: An apparatus for multi-energy tissue quantification includes an x-ray imaging system comprises an x-ray source configured to emit a beam of x-rays toward an object to be imaged, a detector configured to receive the x-rays attenuated by the object, and a data acquisition system (DAS) operably coupled to the detector. A computer operably connected to the x-ray source and the DAS is programmed to cause the x-ray source to emit x-rays at each of a first kVp and a second kVp toward the detector, acquire x-ray data from x-rays emitted at the first and second kVp through a region of interest (ROI), and perform a first multi-material decomposition based on the acquired x-ray data. The computer is also programmed to quantify a volume fraction of a first material in the ROI based on the first multi-material decomposition and display the volume fraction of the first material to a user.

Abstract: Methods and systems for processing images are provided. One method includes obtaining a plurality of images corresponding to at least one area of an object and performing a rectification of at least some of the plurality of images using a reference structure. The method also includes performing a gradient vector field analysis on the rectified plurality of images of the object to identify anomaly regions within the object.

Abstract: A technique is provided for measuring an object based on multiple views. The technique includes registering each of the plurality of images and a first model of the object with one another and reconstructing a second model of the object based on the plurality of images and the first model registered with one another.

Abstract: Approaches are described for generating an initial reconstruction of CT data acquired using a wide-cone system. In one implementation, frequency data may be patched in to a first scan, such as an axial scan, from a second scan, such as a helical scan. In one embodiment, an initial reconstruction may be processed (such as via a non-linear operation) to correct frequency omissions and/or errors in the reconstruction. Corrected frequency information may be utilized to improve the reconstructed image.

Abstract: The present invention aims at providing a method for detecting a color of a signal light from a moving vehicle such as railroad train. The method includes capturing an image from a camera mounted on the moving vehicle and extracting candidate regions in the image that contain light region. The method further includes classifying the candidate regions as a signal light region or a non-signal light region and identifying the color of the signal light region.

Abstract: A technique is disclosed for generating variance data and a variance map from measured projection data acquired from a tomography system. The method comprises accessing the measured projection data from the tomography system. The method further comprises generating the variance map from the measured projection data and displaying, analyzing or processing the variance map. The variance data is determined based upon a statistical model from measured image data, and may be used for image analysis, data acquisition, in computer aided diagnosis routines, and so forth.

Abstract: A method includes generating a first response including a plurality of potential first objects of interest of a first shape from data regarding a region of interest (ROI), generating a second response including a plurality of second objects of interest for a second shape different than the first shape from the data regarding the ROI, and performing a morphological closing on the second response to produce a second cleaned response including a plurality of completed second objects. The method also includes decreasing the number of potential objects of interest in the first response by deleting any potential first objects that overlap any completed second objects to obtain a cleaned first response, and generating an image using at least one of the first cleaned response and the second cleaned response.

Abstract: A method for performing patient specific analysis of disease relevant changes of a disease in an anatomical structure of interest is provided. The method comprises determining a percentage of the anatomical structure that is encompassed by a diseased tissue region using a patient specific healthy tissue model. The method then comprises determining the amount or spatial distribution or a combination thereof of tissue volume variation due to the disease in the anatomical structure based on the percentage of the anatomical structure encompassed by the diseased tissue region and an estimated original amount of tissue.

Abstract: A method for an anomaly detection method is provided. The method includes acquiring at least one two-dimensional or three-dimensional or n-dimensional inspection test image data of a scanned object. The method further includes partitioning the inspection test image data of the scanned object into multiple sub-regions. The method also includes computing one or more texture metrics for each sub-region. Finally, the method includes discriminating between an anomalous and a non-anomalous region in the scanned object according to one or more values of the computed texture metrics and identifying one or more anomalies in the inspection test image data.

Abstract: A method of identifying one or more occlusions in vasculature located in a region of interest, includes extracting vasculature from the region of interest; identifying a subject geometry of the extracted vasculature; and comparing the subject geometry to a predetermined geometry to identify a blockage. A device for identifying one or more occlusions in vasculature located in a region of interest is also presented.

Abstract: A method for obtaining multi-material decomposition images is disclosed, the method comprising the steps of: acquiring an image pair from a dual energy computed tomography scan of an imaged object; selecting a material basis for multi-material decomposition of the image pair; applying a physicochemical model for the material basis; and performing multi-material decomposition using at least one constraint imposed by the physicochemical model.

Abstract: The present invention aims at providing a method for detecting a color of a signal light from a moving vehicle such as railroad train. The method includes capturing an image from a camera mounted on the moving vehicle and extracting candidate regions in the image that contain light region. The method further includes classifying the candidate regions as a signal light region or a non-signal light region and identifying the color of the signal light region.

Abstract: A method for automatic detection of obstructions in vasculature in an anatomical region is presented. The method includes partitioning the anatomical region into a plurality of sub-regions based at least in part on anatomical knowledge. Further, the method includes adaptively computing a threshold intensity value corresponding to each of the plurality of sub-regions. Additionally, the method includes extracting the vasculature in each of the plurality of sub-regions based on the corresponding computed threshold intensity value, where the extracted vasculature comprises a plurality of vessel segments. The method also includes detecting an obstruction in the extracted vasculature. Systems and computer-readable medium that afford functionality of the type defined by this method is also contemplated in conjunction with the present technique.

Abstract: A method of identifying one or more occlusions in vasculature located in a region of interest, includes extracting vasculature from the region of interest; identifying a subject geometry of the extracted vasculature; and comparing the subject geometry to a predetermined geometry to identify a blockage. A device for identifying one or more occlusions in vasculature located in a region of interest is also presented.

Abstract: An imaging system for correcting a bias in the location edges in an image is provided. The imaging system comprises an image processor configured to detect edges in an image of a given substructure, characterize a blurring factor in the image and correct a bias in the detected edges in the of a given substructure using the blurring factor.

Abstract: A method for detecting, quantifying, staging, reporting, and/or tracking of a disease includes providing analysis software configured to detect, quantify, stage, report, and/or track a disease utilizing images of a patient. The analysis software is executable on a personal computer of a patient. Patients are then imaged utilizing a medical imaging apparatus and medical images of the patient produced by the imaging apparatus are downloaded to the personal computer of the patient. The imaging and downloading are repeated a plurality of times at intervals selected to provide the analysis software with sufficient images to detect, quantify, stage, report, and/or track the disease in the patient.

Abstract: A method for detecting, quantifying, staging, reporting, and/or tracking of a disease includes providing analysis software configured to detect, quantify, stage, report, and/or track a disease utilizing images of a patient. The analysis software is executable on a personal computer of a patient. Patients are then imaged utilizing a medical imaging apparatus and medical images of the patient produced by the imaging apparatus are downloaded to the personal computer of the patient. The imaging and downloading are repeated a plurality of times at intervals selected to provide the analysis software with sufficient images to detect, quantify, stage, report, and/or track the disease in the patient.