ImFusion C++ SDK 4.5.0
ImFusion::GlVesselnessFilter Class Reference

#include <ImFusion/GL/GlVesselnessFilter.h>

Computes a multi-scale vesselness measure based on Frangi's filter. More...

Inheritance diagram for ImFusion::GlVesselnessFilter:

Detailed Description

Computes a multi-scale vesselness measure based on Frangi's filter.

The method is based on analysing the hessian eigenvalues computed at each voxel at multiple scales. The likelihood that a given voxel belongs to a vessel-like structure is formulated as a function of the hessian eigenvalues (Frangi's score).

The multi-scale analysis is based on space-scale derivatives theory. Instead of resampling the image at the desired scale and computing the hessian, one smooths the image with a Gauss kernel with a size of the corresponding scale and then computes the derivative. Since Gauss convolutions commute with derivatives, one can simply filter the image with a derivative of the Gauss kernel at the desired scale.

The final vesselness score is obtained by maxing the set of scores for each scale.

A. Frangi et al. "Multiscale vessel enhancement filtering", MICCAI '98

Public Member Functions

 GlVesselnessFilter (const std::vector< SharedImageSet * > &inputVolumes)
 Constructor.
 ~GlVesselnessFilter () override
 Destructor.
virtual void compute (const std::vector< GlImage > &imgsIn, GlImage &imgOut)
 Executes this algorithm on imgIn and writes the result to imgOut.
Public Member Functions inherited from ImFusion::Algorithm
 Algorithm ()
 Default constructor will registers a single "compute" action that calls compute() and returns status().
virtual void setProgress (Progress *progress)
 Sets a Progress interface the algorithm can use to notify observers about its computing progress.
Progressprogress () const
 Returns the progress interface if set.
virtual int status () const
 Indicates the status of the last call to compute().
virtual bool survivesDataDeletion (const Data *) const
 Indicates whether the algorithm can handle (partial) deletion of the specified data, by default this checks whether the data is in the input list.
const FactoryInfofactoryInfo () const
 Returns the record describing how this Algorithm was instantiated by the AlgorithmFactory.
void setFactoryInfo (const FactoryInfo &value)
 Sets the record describing how this Algorithm was instantiated by the AlgorithmFactory.
Status runAction (const std::string &id)
 Run the action with name id if it exists.
const std::vector< Action > & actions ()
 Get a mapping from Action id to Action as registered in this algorithm.
Public Member Functions inherited from ImFusion::Configurable
virtual void configure (const Properties *p)
 Configure this object instance by de-serializing the given Properties.
virtual void configuration (Properties *p) const
 Serialize the current object configuration into the given Properties object.
virtual void configureDefaults ()
 Retrieve the properties of this object, replaces values with their defaults and sets it again.
void registerParameter (ParameterBase *param)
 Register the given Parameter or SubProperty, so that it will be configured during configure()/configuration().
void unregisterParameter (const ParameterBase *param)
 Remove the given Parameter or SubProperty from the list of registered parameters.
 Configurable (const Configurable &rhs)
 Configurable (Configurable &&rhs) noexcept
Configurable & operator= (const Configurable &)
Configurable & operator= (Configurable &&) noexcept

Parameters

Parameter< vec2 > p_scaleRange = {"ScaleRange", vec2(1.0, 5.0), this}
 Range of scales the vesselness filter is computed for (each scale refers to the FWHM of a Gaussian kernel).
Parameter< int > p_numScales = {"NumScales", 5, this}
 Number of scales the vesselness filter is computed for.
Parameter< float > p_alpha = {"Alpha", 1.f}
 Alpha parameter (sheetness).
Parameter< float > p_beta = {"Beta", 1.f}
 Beta parameter (blobbiness).
Parameter< float > p_gamma = {"Gamma", 1.f}
 Gamma parameter (second order structuredness).
Parameter< bool > p_brightVessels = {"BrightVessels", false}
 Whether to find bright or dark vessels.

Algorithm Interface

void compute () override
 Executes this algorithm on the currently set input data.
OwningDataList takeOutput () override
 Writes the results computed in compute() to the provided DataList.
static bool createCompatible (const DataList &data, Algorithm **a)

Additional Inherited Members

Public Types inherited from ImFusion::Algorithm
enum  Status {
  Unknown = -1 , Success = 0 , Error = 1 , InvalidInput ,
  IncompleteInput , OutOfMemoryHost , OutOfMemoryGPU , UnsupportedGPU ,
  UnknownAction , AbortedByUser , User = 1000
}
 Status codes. More...
Static Public Member Functions inherited from ImFusion::Algorithm
static bool createCompatible (const DataList &data, Algorithm **a=nullptr)
 Factory function to check algorithm compatibility with input data and optionally instantiate it.
Public Attributes inherited from ImFusion::Algorithm
Signal signalOutputChanged
 Signal should be emitted by Algorithms when their output/result has changed.
Signal signalParametersChanged
 Signal should be emitted by Algorithms when their parameter configuration has changed.
Public Attributes inherited from ImFusion::Configurable
Signal signalParametersChanged
 Emitted whenever one of the registered Parameters' or SubPropertys' signalValueChanged signal was emitted.
Protected Member Functions inherited from ImFusion::Algorithm
void loadDefaults ()
void registerAction (const std::string &id, const std::string &guiName, const std::function< Algorithm::Status(void)> &action)
 Register an action to be run via runAction.
template<typename D>
void registerAction (const std::string &id, const std::string &guiName, Algorithm::Status(D::*action)(void))
 Template version of runAction that can be used with a pointer to a member function.
void registerAction (const Action &action)
 Register an action.
Protected Attributes inherited from ImFusion::Algorithm
std::string m_name
 Algorithm name.
Progressm_progress = nullptr
 Non-owing pointer to a progress interface. May be a nullptr.
FactoryInfo m_factoryInfo = {}
 Record describing how this algorithm was instantiated by the AlgorithmFactory.
int m_status = Status::Unknown
 Algorithm status after last call to compute().
std::vector< Actionm_actions
 Map of key given by the id of the action, of the available actions of this algorithm.
Protected Attributes inherited from ImFusion::Configurable
std::vector< Paramm_params
 List of all registered Parameter and SubProperty instances.

Member Function Documentation

◆ createCompatible()

bool ImFusion::GlVesselnessFilter::createCompatible ( const DataList & data,
Algorithm ** a )
static

If data is compatible with algorithm return true. If a is not zero, create algorithm with input data.

◆ compute()

void ImFusion::GlVesselnessFilter::compute ( )
overridevirtual

Executes this algorithm on the currently set input data.

Implements ImFusion::Algorithm.

◆ takeOutput()

OwningDataList ImFusion::GlVesselnessFilter::takeOutput ( )
overridevirtual

Writes the results computed in compute() to the provided DataList.

Reimplemented from ImFusion::Algorithm.


The documentation for this class was generated from the following file:
  • ImFusion/GL/GlVesselnessFilter.h
Search Tab / S to search, Esc to close