Digital Image Pre-Processing Flashcards
What is pre-processing?
Corrections made to raw image data due to physical flaws in image acquisition
What is post-processing?
Image manipulation after initial corrections, based on personal preference
What is a common misconception and pre and post image processing?
People often think these happen sequentially, but they involve similar image correction actions
When does pre-processing occur?
Immediately after the raw image is captured and before the final product is displayed on screen
How does pre-processing work?
The system will scan the image for errors and correct them based on histograms
What are histograms?
Pre-programmed graphs that indicate all brightness levels of the pixels in an image that are used for pre-processing comparison
What will the system do if differences are noted between the Lookup-Table and exposure histogram?
It will attempt to reconcile the exposure histogram against the lookuptable and edit it to match
Why would a tech complete post-processing on an image that was already pre-processed?
- Personal preference
- Correct any system issues that might have happened incorrecly in pre-processing
What are two types of correction completed in pre-processing?
Flat field uniformity
Dead pixels
What is flat field uniformity?
A corrective feature designed to even out the brightness across an image
How is flat field uniformity tested for?
By examining the pixels across an exposure field in different corners/center of the picture to make sure they’re of equal brightness
If the brightness is not the same across the exposure field, what could that be an indication of?
Machine sensitivity is off
What are dead pixels?
Black pixels in an image that are called drop-outs
What causes dead pixels?
TFT failure in CR/DR systems
How can dead pixels be corrected?
Using a process called interpolation where an average of 8 pixels surrounding the dead pixel are captured and used to fill in the blank space with appropriate gray scale
What is the area surrounding the dead pixels called?
Kernal
What are the image analysis components completed in pre-processing?
- Segmentation
- Partioned pattern recognition (CR only)
- Exposure field recognition
- Construction of initial histogram
- Histogram analysis
What is segmentation?
The identification of areas of noise and associated densities outside the collimated field
What is partioned pattern recognition?
Identification of separate collimation fields only used in CR
What is a common error of PPR?
Rescaling error where the borders of collimation are not accurately recognized which affects the image brightness
What is scaling?
The process of creating the optimal contrast in an image and changing it if it doesn’t match
What is exposure field recognition?
Analysis of background densities out the anatomy by looking at anatomical landmarks called Volumes of Interest (VOI)
What are the types of landmark changes being looked at in exposure field recognition?
Changes between bone, soft tissue and metal
What is poor field recognition caused by?
A rescaling issue when the computer doesn’t understand the EFR even though techniques are set correctly