Abstract: A method for automatically modifying the rendering of an image based on an analysis of pixel values within a selected region of interest. The method includes: providing a digital input image of digital pixel values and tone scale look-up table (LUT); creating a default rendered image by applying the tone scale lookup table to the input image; displaying the default rendered image; selecting a region of interest from the input image; computing the histogram of the pixel values within the region of interest; creating a bright light image by remapping the pixel values within the region of interest based on an analysis of the histogram and the tone scale table.

Abstract: A method for processing a radiographic image of a patient, executed at least in part on a host processor, initiates exposure in response to an instruction entered from an operator console and obtains radiographic image data from a digital detector that is subjected to the exposure. The obtained radiographic image data is analyzed according to a set of predefined criteria for diagnostic suitability of the image. One or more results of the diagnostic suitability analysis at the operator console is indicated and a listing of one or more corrective actions at the operator console according to the indicated results is provided.

Abstract: A method for detecting one or more motion effects in a diagnostic image obtains image data for the diagnostic image and identifies at least one region of interest in the diagnostic image. The probability of motion blur within the at least one region of interest is calculated according to a motion-sensitive feature of the at least one region of interest. The calculated probability for motion blur within the at least one region of interest is reported.

Abstract: A method of reducing artifacts in a digital radiographic image identifies either a row or column direction for the artifacts in the image data as a predominant direction and obtains a measurement of the image data frequency content that is subject to artifacts from the image content according to the predominant direction. The measurement of image data frequency content subject to the artifacts is tested according to a predetermined threshold. Artifacts are reduced when the predetermined threshold is exceeded by generating one or more suppression factors according to the testing results, decomposing the image content into at least two frequency bands in each row and column direction, applying the one or more suppression factors to modify at least one of the frequency bands, and recomposing the image content by recombining the at least one modified frequency band with one or more other bands into which the image had been decomposed.

Abstract: 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.

Abstract: A method for detecting one or more motion effects in a diagnostic image obtains image data for the diagnostic image and identifies at least one region of interest in the diagnostic image. The probability of motion blur within the at least one region of interest is calculated according to a motion-sensitive feature of the at least one region of interest. The calculated probability for motion blur within the at least one region of interest is reported.

Abstract: A method for automatically modifying the rendering of an image based on an analysis of pixel values within a selected region of interest. The method includes: providing a digital input image of digital pixel values and tone scale look-up table (LUT); creating a default rendered image by applying the tone scale lookup table to the input image; displaying the default rendered image; selecting a region of interest from the input image; computing the histogram of the pixel values within the region of interest; creating a bright light image by remapping the pixel values within the region of interest based on an analysis of the histogram and the tone scale table; wherein the tone scale lookup table has been adjusted by one or more of increasing or decreasing the overall contrast, and of reversing the polarity of the tone scale LUT; and overlaying the bright light image on default rendered image.