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 source digital image wherein the source digital image is comprised of a plurality of pixels. A spatial filter is applied to the source digital image to produce an enhanced digital image. An inverse spatial filter is applied to the enhanced digital image to produce an estimated digital image. A difference digital image is then produced from the estimated digital image and the source digital image, wherein the difference digital image is representative of a difference between the source digital image and the estimated digital image. The difference digital image and the enhanced digital image can be transmitted from a first device to a second device remote. At the second device, a reconstructed digital image can be generated from the difference digital image and the enhanced digital image, wherein the reconstructed digital image is substantially equivalent to the source digital image.
Abstract:
A method for transforming radiological image data from a digital receiver obtains digital image data values from the digital receiver and compensates for exposure response differences between a screen film system and the digital receiver. Modulation transfer function differences between the screen film system and the digital receiver are compensated and noise content at frequencies approaching the Nyquist frequency for the digital receiver is suppressed.
Abstract:
A method for distributing digital medical images between an capture device and a image display device remote from the capture device when a user desires to reprocess an enhanced digital medical image at the image display device. The user initiates a request from the image display device for the unenhanced digital medical image stored at the image capture device, and the request from the image display device is transmitted to the image capture device. The unenhanced digital medical image is then transmitted from the image capture device to the image display device.
Abstract:
A method for transforming radiological image data from a digital receiver obtains digital image data values from the digital receiver and compensates for exposure response differences between a screen film system and the digital receiver. Modulation transfer function differences between the screen film system and the digital receiver are compensated and noise content at frequencies approaching the Nyquist frequency for the digital receiver is suppressed.
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:
An apparatus for capturing information associated with an x-ray image recordable on an x-ray imaging plate. The apparatus is configured to be held in a hand of a user of the apparatus and includes a receiving area, a display, a replaceable rechargeable power supply, one or more non-image sensors, and a computer system. The receiving area receives the x-ray image plate or attaches the apparatus to the x-ray imaging plate. The non-image sensors collect information associated with the x-ray image recorded on the x-ray imaging plate. The computer system includes memory, and is configured to receive, measure, store, and subsequently communicate to another computer system, the collected information associated with the x-ray image recorded on the x-ray imaging plate.
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.
Abstract:
A method for image quality assessment of a digital radiography system extracts and isolates one or more individual targets from a phantom image, then obtains operator responses by displaying each isolated individual target and recording a corresponding operator response related to image appearance for each isolated individual target. The accumulated operator responses are stored to obtain the image quality assessment.
Abstract:
A method for image quality assessment of a digital radiography system extracts and isolates one or more individual targets from a phantom image, then obtains operator responses by displaying each isolated individual target and recording a corresponding operator response related to image appearance for each isolated individual target. The accumulated operator responses are stored to obtain the image quality assessment.