QC/PACS Artifact Identification - PowerPoint PPT Presentation

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QC/PACS Artifact Identification

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QC/PACS Artifact Identification Artifact Causes Image receptor/Hardware Dirty Foreign material Failures Software Algorithm Enhancements/manipulations Operator/Patient ... – PowerPoint PPT presentation

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Title: QC/PACS Artifact Identification


1
QC/PACS ArtifactIdentification
2
Artifact Causes
  • Image receptor/Hardware
  • Dirty
  • Foreign material
  • Failures
  • Software
  • Algorithm
  • Enhancements/manipulations
  • Operator/Patient
  • Collimation
  • Misused equipment
  • Incorrect patient data entry

3
Image Receptor/Hardware
  • Dirt
  • In the CR cassette or reader
  • Foreign material
  • Matter other than dirt within the CR cassette or
    reader
  • Failures
  • Dead pixels
  • Mechanical failures with in the CR reader
  • Within the PACS network

4
CR Screen Artifacts
These are caused by Dirt or other foreign matter
within the cassette/plate apparatus
5
Dead Pixels
  • Calibration algorithms detect individual pixels,
    clusters, and lines of contiguous pixels that
    fail to produce a usable output value.
    Algorithms are applied to the image to determine
    pixel values for the dead or missing pixels.

6
CR Ghost Images
Ghost or memory artifacts occur when the
radiation remains trapped in the phosphor plate.
Remember, radiation can remain trapped for
several minutes. CR plates must be correctly
erased to prevent ghost images.
7
Ghost Image
  • This artifact can also occur with DR systems
    particularly systems using photodiodes.
  • The artifact occurs when exposures are made too
    rapidly and the unit was unable to clear its data
    completely.

8
CR Reader Artifacts
  • Typically display as lines across the entire
    image
  • In contrast to dirt within the cassette or on the
    PSP which are shorter and/or curved lines.

9
(No Transcript)
10
Damaged laser beam head
11
Transmission errors in the network
12
Printer Distortion
  • Occurs when the image size and the printed size
    are not equal.

13
Software Causes
  • Algorithms
  • Incorrect selection
  • Age related
  • Pathology induced
  • Post-processing
  • Edge enhancement, etc

14
Edge Enhancement
  • High contrast and edge definition
  • Lose fine detail on the edges of high contrast
    areas

15
For the pediatric chest an adult chest algorithm
was selected. Technologist error.
16
DR - RF Noise
17
Operator Errors
  • Collimation
  • Backscatter
  • Moire artifact
  • Quantum mottle
  • Insufficient mAs

18
Collimation
  • Too much or too little collimation may effect
    image quality. When being reconstructed the
    image histogram has been programmed to search for
    a particular collimation pattern. If the
    collimation is faulty it may result in artifacts
    on the final image.

19
Light bulb Artifact
Image A demonstrates backscatter on the image
which produces a light bulb effect within the
image. Image B shows the same image with less
kVp.
20
Moire Pattern
Grid lines run in the same direction as the laser
in the CR reader.
21
Quantum Mottle
Image A demonstrates quantum mottle resulting
from too few photons striking the imaging plate.
Images B and C show increasing mAs values and
decreasing quantum mottle.
22
Conclusion
  • Digital artifacts can be caused by numerous
    means.
  • It is the responsibility of the II/PACS
    professional to be the final monitor of image
    quality within the modern imaging department.

23
Future Possibilities
Digital image monitoring
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