digital radiographic image processing and manipulation
DESCRIPTION
Digital Radiographic Image Processing and Manipulation. Chapter 7. What happens in the reader (CR) pre processing?. How is the image constructed digitally? LET’S FIND OUT!!!. We’ve learned how images are captured….now. THE READER IS TO BE INFORMED AS TO WHAT EXAM WILL BE PROCESSED. - PowerPoint PPT PresentationTRANSCRIPT
Digital Radiographic Digital Radiographic Image Processing and Image Processing and
ManipulationManipulationChapter 7
We’ve learned how images are We’ve learned how images are captured….nowcaptured….now
What happens in the reader (CR) pre processing?
How is the image constructed digitally?
LET’S FIND OUT!!!
PRE-PROCESSINGPRE-PROCESSING
THE READER IS TO BE INFORMED AS TO WHAT EXAM WILL BE PROCESSED.
So when you “flash” the cassette, or scan with a bar code reader or in DR, choose the patient and the examination and the views that are to be done
HISTOGRAMHISTOGRAMGraphical representation of optimal densities collected by exposure data recognition .
Exposure data recognition finds the collimated edges , disregards the scatter outside of these edges
Searches for anatomy
This area is the source of exposure data indicator
CR sampling, CR sampling, Carter pg 110 and Carter pg 110 and Page 492 BushongPage 492 Bushong
Notice the collimated area of the lungs in A and find the associated area in B on histogram and C on the response cure. Do the same for the black areas around the chest.
THE SHAPE OF THE HISTOGRAM IS THE SHAPE OF THE HISTOGRAM IS ANATOMY SPECIFICANATOMY SPECIFIC
histogramhistogramhttp://bloggingradiography.blogspot.com/2007/08/
anatomy-of-histogram.html
High energy=less frequency of the same density = narrower histogram
Low energy=more frequencies of the same density= wider histogram
The Nyquist Theorem How are signals converted from analog to digital?
THIS IS STILL THE BEST THIS IS STILL THE BEST EXPLANATION AND RESOURCEEXPLANATION AND RESOURCE
NYQUIST THEOREMNYQUIST THEOREM
When sampling(converting from analog to digital) a signal, the sampling frequency must be greater than the bandwidth of the input signal
http://images.google.com/imgres?imgurl=http://www.cs.cf.ac.uk/Dave/Multimedia/nyquist.gif&imgrefurl=http://www.cs.cf.ac.uk/Dave/Multimedia/node149.html&h=420&w=529&sz=6&hl=en&start=10&um=1&tbnid=zyDOLJNUH6mM8M:&tbnh=105&tbnw=132&prev=/images%3Fq%3Dnyquist%
Sample? Try thisSample? Try this
http://www.pcguide.com/art/soundSampleRate-c.html
WHAT DO YOU THINK THIS IS? PAGE 113 CARTER
Automatic rescaling
LUTLUTAutomatic rescaling to achieve appropriate contrast on an
image
http://www.sprawls.org/resources/DIGPROCESS/module.htm#13
LUT –HISTOGRAM OF LUT –HISTOGRAM OF BRIGHTNESSS LEVELS BRIGHTNESSS LEVELS VALUES FROM IMAGE VALUES FROM IMAGE
ACQUISITIONACQUISITIONPG 114 IN CARTER
NOTE HOW VALUES LESS THAN 50 ARE BLACK AND THOSE HIGHER THAN 150 ARE WHITE
Lut histogramLut histogram
Exposure latitudeExposure latitude
CCD’sFPIRPSP/CR systemsDR (direct or
indirect)
High dynamic range of receptors which is the ability of the receptor to respond to exposure
Example of Receptors??
MTFMTFThe ability to faithfully reproduce the image from the
object…More light in the process of capturing image, the lower the MTF. High MTF is preferred
Contrast manipulationContrast manipulationChanging brightness, contrast post processing. “No amount of adjustment can take the place of proper
technical factor selection”
Edge EnhancementEdge Enhancement
Improving visibility of small high contrast areas (ex: finger fractures)
Usually signals are averaged to shorten processing time and storage
In Edge Enhancement, less pixels are included in the average=more true in signal “size”
SmoothingSmoothingReduction of noise and contrast. Good for visualizing fine
bone tissues
Let’s discuss image manipulation
Window Level
Window Width
Stitching
REVIEW THOSE PESKY REVIEW THOSE PESKY ACRONYMS!ACRONYMS!
1. PSP2. CRT3. ADC
4. IP5. CR6. DR
7. DQE8. PMT
9. PACS
Bit-binary digit, 0 or 1.Grouped in bunches of 8 = byte
Pixel pitch
Structured needle phosphor vs Turbid phosphor
Available gray scale Bit depth=shades of gray
Measure of distance from middle of one pixel to another
Active layer structure/organized vs. random –Mosby pg 68