Abstract:
A method for the automated detection of gross abnormalities and asymmetries in chest images (10), including generating image data from radiographic images of the thorax. The image data are then analyzed in order to produce the boundaries of the aerated lung regions in the thorax. This analysis comprises location of the mediastinum and lung apices, iterative global thresholding (11) with centroid testing of contours, local thresholding (12) on regions along initial contours of the aerated lung, correction (13) for regions near the costo and cardiophrenic angles in the chest, analysis (15) of the areas and density distribution within the aerated lung regions in the chest and determination (16) of the likelihood of the presence of a gross abnormality or asymmetry. Finat ouptut could be the computer determined contours of the lungs or the likelihood for abnormality.
Abstract:
A method and system for computerized registration of radionuclide images with radiographic images, including generating image data from radiographic and radionuclide images of the thorax (10, 12). Techniques include contouring the lung regions in each type of chest image (15, 16), scaling (17) and registration (19) of the contours based on location of lung apices, and superimposition (18) after appropriate shifting of the images. Specific applications are given for the automated registration of radionuclide lung scans with chest radiographs. The method in the example given yields a system that spatially registers and correlates digitized chest radiographs with V/Q scans in order to correlate V/Q functional information with the greater structural detail of chest radiographs.
Abstract:
A method for the automated detection of gross abnormalities and asymmetries in chest images, including generating image data from radiographic images of the thorax. The image data are then analyzed in order to produce the boundaries of the aerated lung regions in the thorax. This analysis comprises location of the mediastinum and lung apices, iterative global thresholding with centroid testing of contours, local thresholding on regions along initial contours of the aerated lung, correction for regions near the costo- and cardiophrenic angles in the chest, analysis of the areas and density distribution within the aerated lung regions in the chest and determination of the likelihood of the presence of a gross abnormality or asymmetry. Final output could be the computer determined contours of the lungs or the likelihood for abnormality.
Abstract:
A method and system for computerized registration of radionuclide images with radiographic images, including generating image data from radiographic and radionuclide images of the thorax (10, 12). Techniques include contouring the lung regions in each type of chest image (15, 16), scaling (17) and registration (19) of the contours based on location of lung apices, and superimposition (18) after appropriate shifting of the images. Specific applications are given for the automated registradon of radionuclide lumg scans with chest radiographs. The method in the example given yields a system that spatially registers and correlates digitized chest radiographs with V/Q scans in order to correlate V/Q functional information with the greater structural detail of chest radiographs.
Abstract:
A method for the automated detection of gross abnormalities and asymmetries in chest images, including generating image data from radiographic images of the thorax. The image data are then analyzed in order to produce the boundaries of the aerated lung regions in the thorax. This analysis comprises location of the mediastinum and lung apices, iterative global thresholding with centroid testing of contours, local thresholding on regions along initial contours of the aerated lung, correction for regions near the costo- and cardiophrenic angles in the chest, analysis of the areas and density distribution within the aerated lung regions in the chest and determination of the likelihood of the presence of a gross abnormality or asymmetry. Final output could be the computer determined contours of the lungs or the likelihood for abnormality.
Abstract:
A method for the automated detection of gross abnormalities and asymmetries in chest images (10), including generating image data from radiographic images of the thorax. The image data are then analyzed in order to produce the boundaries of the aerated lung regions in the thorax. This analysis comprises location of the mediastinum and lung apices, itorative global thresholding (11) with centroid testing of contours, local thresholding (12) on regions along initial contours of the aerated lung, correction (13) for regions near the costo and cardiophrenic angles in the chest, analysis (15) of the areas and density distribution within the aerated lung regions in the chest and determination (16) of the likelihood of the presence of a gross abnormality or asymmetry. Finat ouptut could be the computer determined contours of the lungs or the likelihood for abnormality.