STIR
6.2.0
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Classes | |
class | stir::BinNormalisation |
Abstract base class for implementing bin-wise normalisation of data. More... | |
class | stir::BinNormalisationFromAttenuationImage |
A BinNormalisation class that gets attenuation correction factors from an attenuation image. More... | |
class | stir::BinNormalisationFromProjData |
A BinNormalisation class that gets the normalisation factors from a ProjData object. More... | |
class | stir::BinNormalisationPETFromComponents |
A BinNormalisation class that uses component-based normalisation for PET. More... | |
class | stir::BinNormalisationWithCalibration |
class | stir::ChainedBinNormalisation |
A BinNormalisation class that simply multiplies the factors given by 2 BinNormalisation objects. More... | |
class | stir::TrivialBinNormalisation |
Trivial class which does not do any normalisation whatsoever. More... | |
Everything related to BinNormalisation classes.
In PET 'normalisation' is used to describe a multiplicative calibration of every detector-pair. More generally, it can be used to the process of 'correcting' projection data by multiplying every bin with a factor.