Review Of CT Physics Flashcards
CT scanners need?
- Stable and fast detectors
- Exact source - detector geometrical relationship
- high resolution
- small focal spot
- mono-energetic beam
- large amount of computing power
- strong radiolucent beds
CT numbers show?
- attenuation coefficient of materials
- affected by KV
- Air has a CT number of -1000
- water has a CT umber of 0
CT numbers
CT numbers = [u(tissue) - u(water) / u(water] x 1000
- Measured in distribution of u
- u values are scaled to that of water to give CT numbers
- multiplayer of 1000 used to make whole numbers
- for a given tissue depends of the KV, scanner model, etc:
+ water = 0
+ Air = -100
+ bone = 1000
Everything else somewhere else in between
In filtered back projection?
A filter removes the streaks from the image
The more back projections the better the objects are represented in the image.
Image reconstruction
The more projections added - the better the representation
Simple back projection gives a streaky image
A filtered (image projection) is applied - FILTERED BACK-PROJECTION
Variety of filters available - smooth, fine
Iterative reconstruction (IR)
Uses acquired information for comparison
Can model physics
Very slow
“Plasticky look”
CTDI?
Is dependant on the irradiated slice width and dose profile
Dosimetry CTDI
CTDI = Computed tomography Dose index
Defined as CTDI = 1/NT integrated dose profile
NT = number of detector rows width of detector row
Dose profile - penumbra and scatter
Weighted CTDI
- doses greater towards the periphery
- measure in outer holes of phantom and add to central ones
CTDI w = 1/3 CTDI central/100 + 2/3 CTDI peripheral/100
- normally displayed on CT console
- indicates dose per rotations
DLP?
Is defined as the CTDI vol times the scan length
Can be converted to effective dose
DLP and CTDI
CTDI vol = CTDI w / pitch
DLP = dose length product
DLP = length of scan x CTDI vol
- commonly displayed
- indicates affect of settings on scan dose
- can be converted to effective dose if needed
Which factors affect dose and image quality?
- Slice thickness
- pitch
- KV/mAs
- contrast
- reconstruction filter
Slice thickness (Z-direction) ?
Thinner slices improve resolution in the Z-direction
Wider slices can increase partial volume effects
Slice thickness info - narrow slices
More noise
Better Z-axis resolution
Slice thickness info - wide slices
Less noise ( more x-ray photons contribute to image)
Worse Z-axis resolution
Partial volume effects? - depends on the size of the object being imaged
Faster coverage
Fewer slices