摘要:
A method for classifying radiographs. The method includes the steps of: accessing a radiograph; categorizing the radiograph into pre-determined classes based on gross characteristics of the radiograph, and recognizing the image contents in the radiograph.
摘要:
A method for detecting and correcting the orientation of a radiograph. The method generally includes the steps of accessing the radiograph; locating a region of interest in the radiograph; and using the located region of interest and a classifier to detect the orientation of the radiograph. In a preferred embodiment, the radiograph is preprocessed.
摘要:
A method for detecting and correcting the orientation of a radiograph. The method generally includes the steps of accessing the radiograph; locating a region of interest in the radiograph; and using the located region of interest and a classifier to detect the orientation of the radiograph. In a preferred embodiment, the radiograph is preprocessed.
摘要:
A method for recognizing the projection view of radiographs comprising the steps of correcting the orientation of the input radiograph, locating a region of interesting in the radiograph, recognizing the projection view of the radiograph.
摘要:
A method for recognizing the projection view of radiographs comprising the steps of correcting the orientation of the input radiograph, locating a region of interesting in the radiograph, recognizing the projection view of the radiograph.
摘要:
A method for determining image quality of a digital radiographic image. The method is executed at least in part by a computer system. The method obtains image data for the digital radiographic image, identifies one or more regions of interest in the digital radiographic image, derives an image quality score that indicates the image quality of the digital radiographic image by computing at least a contrast-to-noise value for image data content within the one or more regions of interest, and reports the derived image quality score for the image.
摘要:
A method for medical diagnostic image processing obtains digital image data for a diagnostic image and extracts one or more image features from the image data, obtaining one or more image properties from the one or more extracted features. An image quality aim is obtained for rendered image appearance according to one or more stored viewer preferences. Rendering parameters are generated according to the obtained image quality aim and the one or more obtained image properties. The image is rendered according to the generated rendering parameters and the rendering validated against the selected image quality aim.
摘要:
A method for determining image quality of a digital radiographic image. The method is executed at least in part by a computer system. The method obtains image data for the digital radiographic image, identifies one or more regions of interest in the digital radiographic image, derives an image quality score that indicates the image quality of the digital radiographic image by computing at least a contrast-to-noise value for image data content within the one or more regions of interest, and reports the derived image quality score for the image.
摘要:
A method of segmenting a radiographic image into diagnostically relevant and diagnostically irrelevant regions comprising: acquiring a digital radiographic image including a matrix of rows and columns of pixels; detecting the initial background left point of a histogram of the image; detecting the foreground of the image; regenerating the background of the image by region growing; validating the background of the image; merging the background and foreground regions of the image as diagnostically irrelevant regions; and extracting the anatomy region of the image as the diagnostically relevant region.
摘要:
A method for automatically classifying a radiograph. A digital radiographic image is acquired, wherein the image is comprised of a matrix of rows and columns of pixels. The digital image is segmented into foreground, background, and anatomy regions. A physical size of the anatomy region is classified. An edge direction histogram of the anatomy region is generated and a shape pattern of the edge direction histogram is classified. Based on the physical size classification and the shape pattern classification, the image is categorized.