What is pre-processing?
Correction to the raw image data due to physical flaws in the image acquisition
What is post-processing?
Manipulation of the image after corrections have been made for personal preference
What is flat field uniformity?
Designed to even out brightness across an image field that could be caused by dropped/dead pixels
How is flat field uniformity tested?
By examining pixels across an exposed field usually in different corners and the center
How are dead pixels corrected?
Using interpolation
What is interpolation?
Where an average of the 8 pixels surrounding the dead pixel are utilized to fill it with a more appropriate gray scale
What steps occur as part of pre-processing analysis?
Segmentation
Partioned pattern recognition
Exposure field recognition
Contruction of initial histogram
Histogram analysis
What is segmentation?
Identifies areas of noise and densities outside the collimated field
What is partioned pattern recognition?
Used on in CR and can separate fields of collimation
What is exposure field recognition?
Analyzes background densities outside the anatomy by looking at anatomical landmarks
What are anatomical landmarks also known as?
VOI (value of interest)
How is the initial histogram constructed?
It identifies all densities on the iamging plate in the form of a graph
What is the X-axis of the histogram?
The amount of exposure
What is the Y-axis of the historgram?
The number of pixels per each exposure
What do brightness areas on the left of the histogram represent?
Bone, contrast or metal
What do darker areas on the right of the histogram represent?
Air, gas
How does raw radiation display on a histogram?
A spike at the far right
When would raw radiation display on a histogram?
When a part doesn’t cover the entire IR
How does a histogram display when the whole part covers the IR?
A singular graph with no spikes
How does contrast display on a histogram?
A spike on the far left
How is landmark identification done on a histogram?
By applying a threshold including a Smin and Smax to remove any unecessary values
How is grayscale represented in graph form?
In a graph where the X axis represents log relative exposure and Y axis represent brightness of pixels
If there is long grayscale, how will is show graphically?
With a shallow slope because there are slow changes in pixel brightness
If there is a short grayscale, how will it show graphically?
Steeper, since there are more drastic changes in pixel brightness