Chapter 5 Exposure

Cards (99)

  • digital image processing
    various computer algorithms applied to digital data for the purpose of optimizing the image for display
  • what two stages describe digital image processing?
    preprocessing and post processing
  • preprocessing
    preparing data for processing image
  • postprocessing
    computer operations on taken image
  • where do flaws occur?
    raw data
  • how do you fix raw data errors?
    bad or dead pixel corrections and flat fielding corrections
  • flat fielding corrections
    process of correcting the nonuniformity of pixel values throughout entire image
  • Histogram
    graphic display of the distribution of pixel values
  • what is another name for a graph?
    data set
  • what does the graph include?
    all pixel values that represent the latent image after corrections applied
  • x-axis on histogram
    represents range of pixel values assigned
  • y-axis on histogram
    represents number of pixels per value
  • location of graph on x-axis on histogram
    represents brightness levels
  • shape of graph
    represents image contrast (grayscale)
  • processing errors are less likely to occur in DR or CR IR's?
    DR IR's
  • Histogram Analysis
    computer analyzes histogramusing processing algorithms and compares it with a pre-established (reference) histogram specific to anatomicpart being imaged
  • Location and shape of exposure histogram impacted by what 4 things?

    Anatomic area imaged
    Exposure technique
    Positioning
    Collimation
  • Values of Interest (VOIs)

    determines the range of the histogram data set included in the displayed image
  • do computer softwares have stores histogram models?
    yes
  • Exposure Indicator
    a numeric value that is displayed on the processed image to indicate the level of x-ray exposure received on the digital image receptor
  • what does digital imaging processing allow?

    images to appear appropriately bright, regardless of IR exposure
  • CR Vendor-specific EI's
    Fuji and Konica - Sensitivity (S) numbers
    Carestream (Kodak) - Exposure index (EI) numbers
    Agfa - Log median value (lgM) numbers
  • Deviation Index (DI)
    a value that reflects the difference between the desired or target exposure to the image receptor and the actual exposure to the image receptor
  • Variables that influence EIs:
    Collimation
    Kilovoltage peak
    Central ray centering
  • what do the variables affect?
    level of noise and image quality
  • who monitors the EI's?
    radiographer
  • Lookup Tables (LUTs)
    provide a method of altering theimage to change the display of the digital image in avariety of ways.
  • what are the LUTs based on ?
    the reference histograms
  • what do the LUT's alter?
    brightness and grayscale of digital image using computer algorithms
  • Automatic Rescaling
    occurs during histogram analysis and is used to maintain consistent image brightness despite over- or underexposure of the digital image receptor.
  • Rescaling errors can occur from:

    Improper positioning
    Collimation errors
    Image artifacts
  • what can rescaling errors result in?
    poor-quality digital images
  • what do LUTs allow?
    grayscale and contrast adjustment
  • If processed image not altered
    LUT shows a straightline
  • If processed image altered,
    LUT shows a curve
  • Alternative Algorithms
    a mechanism for the radiographer to reprocess the image data by selecting an alternative anatomical region or projection to improve its presentation at the display monitor
  • Pro to using alternative algorithm:

    Could prevent need for repeat imaging.
  • Cons to using alternative algorithm:

    Not assured to have improved image quality
    Could limit ability to further postprocess image
    Reprocessing info could cause storage and retrieval issues.
  • Ways digital images can be manipulated:
    1. Dual-Energy Subtraction
    2. Contrast Enhancement
    3. Edge Enhancement
    4. Inversion
    5. Smoothing
    6. Equalization
  • Dual-Energy Subtraction
    a technique that can remove superimposed structures so that the AOI becomes more visible; can subtract select brightness values to create an image without superimposed structures.