A class to run an ICA on a heart perfusion series. More...

#include <mia/2d/perfusion.hh>

Collaboration diagram for C2DPerfusionAnalysis:

Public Types
enum	EBoxSegmentation { bs_delta_feature , bs_delta_peak , bs_features , bs_unknown }
	Possible bases for LV-RV heart segmentation. More...

Public Member Functions
	C2DPerfusionAnalysis (size_t components, bool normalize, bool meanstrip)

P2DFilter	get_crop_filter (float scale, C2DBounds &crop_start, EBoxSegmentation approach, const std::string &save_features="") const

P2DImage	get_feature_image (int index) const

int	get_LV_idx () const

int	get_LV_peak_idx () const __attribute__((deprecated))

int	get_LV_peak_time () const

std::vector< float >	get_mixing_curve (unsigned idx) const

int	get_movement_idx () const

int	get_perfusion_idx () const

std::vector< C2DFImage >	get_references () const

int	get_RV_idx () const

int	get_RV_peak_idx () const __attribute__((deprecated))

int	get_RV_peak_time () const

bool	has_movement () const

bool	run (const std::vector< C2DFImage > &series, const CIndepCompAnalysisFactory &icatool)

void	save_coefs (const std::string &coefs_name) const

void	save_feature_images (const std::string &base_name) const

void	set_approach (CIndepCompAnalysis::EApproach approach)

void	set_max_ica_iterations (size_t maxiter)

void	set_min_movement_frequency (float min_freq)

void	set_use_guess_model ()

	~C2DPerfusionAnalysis ()

Static Public Attributes
static TDictMap< EBoxSegmentation >	segmethod_dict

Detailed Description

A class to run an ICA on a heart perfusion series.

This class provides the tools for ICA based 2D perfusion image series. This class is specifically designed for the analysis of free breathingly aquired myocardial perfusion images.

Definition at line 42 of file perfusion.hh.

Member Enumeration Documentation

◆ EBoxSegmentation

enum C2DPerfusionAnalysis::EBoxSegmentation

Possible bases for LV-RV heart segmentation.

Enumerator
bs_delta_feature	Segmentation based on the difference of the LV and RV feature images
bs_delta_peak	Segmentation based on the difference of the LV and RV peak enhancenemt images
bs_features	Segmentation based on the LV and RV feature images
bs_unknown	place holder

Definition at line 46 of file perfusion.hh.

Constructor & Destructor Documentation

◆ C2DPerfusionAnalysis()

C2DPerfusionAnalysis::C2DPerfusionAnalysis	(	size_t	components,
		bool	normalize,
		bool	meanstrip
	)

Constructor

Parameters

components	number of independend components, 0 = auto estimate from [3,4,5,6,7]
normalize	normalize feature images
meanstrip	strip mean from mixing time curves

◆ ~C2DPerfusionAnalysis()

C2DPerfusionAnalysis::~C2DPerfusionAnalysis ( )

Member Function Documentation

◆ get_crop_filter()

P2DFilter C2DPerfusionAnalysis::get_crop_filter	(	float	scale,
		C2DBounds &	crop_start,
		EBoxSegmentation	approach,
		const std::string &	save_features = `""`
	)		const

Evaluate an image cropping filter. This code is specifically designed to deal with the segmentantion of the left heart ventricle in short axis heart MRI The algorithm evaluates the centers of the LV and the RV and uses the distance between both to estimata a bounding box. Some heuristics are used to check whether the segmentation makes sense

Parameters

	scale	enlargement scale of the bounding box to create the cropping region
[out]	crop_start	returns the left upper corner of the cropping region that can be used to adjust segmentations
	approach	on what input data to base thesegmentation on
	save_features	if not empty store feature images in files with this prefix

Returns: the cropping filter or C2DFilterPlugin::ProductPtr() if the segmentation fails.

Public Types

Public Member Functions

Static Public Attributes