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Tomographic Reconstruction (PET/SPECT)
Public Member Functions | Private Member Functions | Private Attributes
iOptimizerMLEM Class Reference

This class implements the Maximum Likelihood Expectation Maximization algorithm. More...

#include <iOptimizerMLEM.hh>

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List of all members.

Public Member Functions

 iOptimizerMLEM ()
 The constructor of iOptimizerMLEM.
 ~iOptimizerMLEM ()
 The destructor of iOptimizerMLEM.
int ReadConfigurationFile (const string &a_configurationFile)
 A function used to read options from a configuration file.
int ReadOptionsList (const string &a_optionsList)
 A function used to read options from a list of options.

Private Member Functions

void ShowHelpSpecific ()
 A function used to show help about the child optimizer.
int CheckSpecificParameters ()
 A private function used to check the parameters settings specific to the child optimizer.
int InitializeSpecific ()
 This function is used to initialize specific stuff to the child optimizer.
int SensitivitySpecificOperations (FLTNB a_data, FLTNB a_forwardModel, FLTNB *ap_weight, FLTNB a_multiplicativeCorrections, FLTNB a_additiveCorrections, FLTNB a_quantificationFactor, oProjectionLine *ap_Line)
 This function compute the weight associated to the provided event (for sensitivity computation)
int DataSpaceSpecificOperations (FLTNB a_data, FLTNB a_forwardModel, FLTNB *ap_backwardValues, FLTNB a_multiplicativeCorrections, FLTNB a_additiveCorrections, FLTNB a_quantificationFactor, oProjectionLine *ap_Line)
 This function performs the data space operations specific to the optimizer (computes the values to be backprojected)
int ImageSpaceSpecificOperations (FLTNB a_currentImageValue, FLTNB *ap_newImageValue, FLTNB a_sensitivity, FLTNB *ap_correctionValues)
 This function perform the image update step specific to the optimizer.

Private Attributes

FLTNB m_dataSpaceDenominatorThreshold
FLTNB m_minimumImageUpdateFactor
FLTNB m_maximumImageUpdateFactor

Detailed Description

This class implements the Maximum Likelihood Expectation Maximization algorithm.

This class inherits from vOptimizer and implements the classical MLEM algorithm for likelihood maximization. It is implemented in its multiplicative form.

Definition at line 22 of file iOptimizerMLEM.hh.


Constructor & Destructor Documentation

The constructor of iOptimizerMLEM.

This is the default and unique constructor. It does not take any parameter and its role is only to affect default values to each member of the class.

Definition at line 26 of file iOptimizerMLEM.cc.

The destructor of iOptimizerMLEM.

This is the default and unique destructor. It does not take any parameter and its role is only to free or delete all structures that were built by this class.

Definition at line 56 of file iOptimizerMLEM.cc.


Member Function Documentation

int iOptimizerMLEM::CheckSpecificParameters ( ) [private, virtual]

A private function used to check the parameters settings specific to the child optimizer.

This function is used to check that all parameters specific to the optimizer are correctly set within allowed values. It is called by the CheckParameters() function of the mother class. It is the implementation of the pure virtual function inherited from the abstract mother class vOptimizer.

Returns:
An integer reflecting the check status; 0 if no problem, another value otherwise.

Implements vOptimizer.

Definition at line 149 of file iOptimizerMLEM.cc.

int iOptimizerMLEM::DataSpaceSpecificOperations ( FLTNB  a_data,
FLTNB  a_forwardModel,
FLTNB ap_backwardValues,
FLTNB  a_multiplicativeCorrections,
FLTNB  a_additiveCorrections,
FLTNB  a_quantificationFactor,
oProjectionLine ap_Line 
) [private, virtual]

This function performs the data space operations specific to the optimizer (computes the values to be backprojected)

Parameters:
FLTNBa_data
FLTNBa_forwardModel
FLTNB*ap_backwardValues
FLTNBa_multiplicativeCorrections
FLTNBa_additiveCorrections
FLTNBa_quantificationFactor
oProjectionLine*ap_Line

It is the implementation of the pure virtual function from vOptimizer. The results to be backprojected is put at ap_backwardValues location.

Returns:
An integer reflecting the process status; 0 if no problem, another value otherwise.

Implements vOptimizer.

Definition at line 217 of file iOptimizerMLEM.cc.

int iOptimizerMLEM::ImageSpaceSpecificOperations ( FLTNB  a_currentImageValue,
FLTNB ap_newImageValue,
FLTNB  a_sensitivity,
FLTNB ap_correctionValues 
) [private, virtual]

This function perform the image update step specific to the optimizer.

Parameters:
FLTNBa_currentImageValue
FLTNB*ap_newImageValue
FLTNBa_sensitivity
FLTNB*ap_correctionValues

It is the implementation of the pure virtual function from vOptimizer. The new image value is put at the ap_newImageValue location.

Returns:
An integer reflecting the process status; 0 if no problem, another value otherwise.

Implements vOptimizer.

Definition at line 235 of file iOptimizerMLEM.cc.

int iOptimizerMLEM::InitializeSpecific ( ) [private, virtual]

This function is used to initialize specific stuff to the child optimizer.

It is called by the public Initialize() function from the mother.

Returns:
An integer reflecting the initialization status; 0 if no problem, another value otherwise.

Implements vOptimizer.

Definition at line 178 of file iOptimizerMLEM.cc.

int iOptimizerMLEM::ReadConfigurationFile ( const string &  a_configurationFile) [virtual]

A function used to read options from a configuration file.

Parameters:
conststring& a_configurationFile

This function implements the reading of all options associated to the child optimizer, from a configuration file. It is the implementation of the pure virtual function inherited from the abstract class vOptimizer. It checks the reading status but not the options values that will be checked by the CheckSpecificParameters() function.

Returns:
An integer reflecting the reading success; 0 if success, another value otherwise.

Implements vOptimizer.

Definition at line 83 of file iOptimizerMLEM.cc.

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int iOptimizerMLEM::ReadOptionsList ( const string &  a_optionsList) [virtual]

A function used to read options from a list of options.

Parameters:
conststring& a_configurationFile

This function implements the reading of all options associated to the child optimizer, from a list of options. It is the implementation of the pure virtual function inherited from the abstract class vOptimizer. It checks the reading status but not the options values that will be checked by the CheckSpecificParameters() function.

Returns:
An integer reflecting the reading success; 0 if success, another value otherwise.

Implements vOptimizer.

Definition at line 123 of file iOptimizerMLEM.cc.

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int iOptimizerMLEM::SensitivitySpecificOperations ( FLTNB  a_data,
FLTNB  a_forwardModel,
FLTNB ap_weight,
FLTNB  a_multiplicativeCorrections,
FLTNB  a_additiveCorrections,
FLTNB  a_quantificationFactor,
oProjectionLine ap_Line 
) [private, virtual]

This function compute the weight associated to the provided event (for sensitivity computation)

Parameters:
FLTNBa_data
FLTNBa_forwardModel
FLTNB*ap_weight
FLTNBa_multiplicativeCorrections
FLTNBa_additiveCorrections
FLTNBa_quantificationFactor
oProjectionLine*ap_Line

It is the implementation of the pure virtual function from vOptimizer. The result is put at ap_weight location.

Returns:
An integer reflecting the process status; 0 if no problem, another value otherwise.

Implements vOptimizer.

Definition at line 202 of file iOptimizerMLEM.cc.

void iOptimizerMLEM::ShowHelpSpecific ( ) [private, virtual]

A function used to show help about the child optimizer.

This function must describe what the module does and how to use it. It describes in details the different parameters of the optimizer, and how to set them through the use of a configuration file or a list of options. It is the implementation of the pure virtual function inherited from the abstract class vOptimizer. It is called by the public ShowHelp() function.

Implements vOptimizer.

Definition at line 65 of file iOptimizerMLEM.cc.


Member Data Documentation

Threshold applied to the denominator of the data space operation to avoid 0-divisions or too high ratios

Definition at line 154 of file iOptimizerMLEM.hh.

Maximum allowed image update factor (null or negative values mean no restriction)

Definition at line 156 of file iOptimizerMLEM.hh.

Minimum allowed image update factor, useful to avoid voxels trapped in 0 value (null or negative values mean no restriction)

Definition at line 155 of file iOptimizerMLEM.hh.


The documentation for this class was generated from the following files:
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