dose and image quality Flashcards
what 3 factors affect patient dose in CT
- kV
- mA
- rotating time
mA directly proportional to dose
rotation time proportional to dose
kV also has an effect on contrast
more photons are produced at higher kVp
what is dose modulation
- adjust dose to maintain image quality
(if pt diameter increases by 4cm, 2x dose)
- centering is important
what are 3 checks done for CT quality control
- image quality tests
- xray dose measurements
- mechanical checks
what are you checking for during the quality checks
- baseline values (established either at acceptance testing or during first few ,months of scanners lifetime)
- during routine testing, you are checking that measurements do not differ significantly from these baseline
why would you measure noise in relation to quality control checks
changes in noise is relative to the baseline values which can be caused by changes in:
- tube output
- beam width collimation
- focal spot size
- beam filtration
- detector problems
- reconstruction filter
- image filter
what is used to check noise levels
scanners QA phantom
- produces noise image with region of interest and shows standard deviation (mean CT number)
how often is the scanner QA phantom used to check noise levels
daily
what does it mean if you see the same noise in each slice taken by the phantom
even distribution of dose to each detector
what does it mean if you see different amount of noise in each slice image taken by phantom
collimation width not matched to detectors so non even dose given to detectors
why would you test CT number values
- CT number depends on the xray energy spectrum of the beam
- any changes in spectrum may have more effect at one end of the CT number range than at other
- particular issue in quantitiative work and radiotherapy planning
how is CT number uniformly checked/tested
- using head and body phantoms
- image taken and the difference between the centre and peripheral regions are compared
- ring artefacts are checked first using narrow window
how often is CT number uniformity checked
annually
how is high contrast spatial resolution checked
- using bar and point phantoms
- look for smaller distinguishable pattern you can see
- quote line pairs/cm