/usr/include/mia-2.2/mia/core/waveletslopeclassifier.hh is in libmia-2.2-dev 2.2.2-1+b1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 | /* -*- mia-c++ -*-
*
* This file is part of MIA - a toolbox for medical image analysis
* Copyright (c) Leipzig, Madrid 1999-2014 Gert Wollny
*
* MIA is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with MIA; if not, see <http://www.gnu.org/licenses/>.
*
*/
#include <vector>
#include <mia/core/slopevector.hh>
#ifndef mia_core_waveletslopeclassifier_hh
#define mia_core_waveletslopeclassifier_hh
NS_MIA_BEGIN
/**
\ingroup perf
\brief Curve classifier for heart perfusion data
Classify a set of curves by using a wavelet analysis.
This class is mostly usefull for the analysis of series of perfusion images
that are aquired using free breathing or with initial breath holding.
*/
class EXPORT_CORE CWaveletSlopeClassifier {
public:
/// typedef to define the matrix of curves
typedef CSlopeColumns Columns;
/**
Enumerate to signal the result of the classification
*/
enum EAnalysisResult {
wsc_fail, /*!< no proper identification of slopes could be achieved */
wsc_no_movement, /*!< no movement detected */
wsc_low_movement, /*!< low level movement detected */
wsc_normal /*!< normal movement detected */
};
/**
Initialize the classifier with the given curves and the information whether the means were stripped
@param m matrix of curves
@param mean_stripped
@param min_freq minimum breatjing frequency to consider movement, set to <0 to diable this test
*/
CWaveletSlopeClassifier(const Columns& m, bool mean_stripped, float min_freq);
/** copy constructor */
CWaveletSlopeClassifier(const CWaveletSlopeClassifier& other);
CWaveletSlopeClassifier();
/// assignment operator
CWaveletSlopeClassifier& operator =(const CWaveletSlopeClassifier& other);
~CWaveletSlopeClassifier();
/// @return the index of the periodic curve or -1 if none was found
int get_movement_idx() const;
/// @return the index of the RV enhancement curve or -1 if not identified
int get_RV_idx()const;
/// @return the index of the LV enhancement curve or -1 if not identified
int get_LV_idx() const;
/// @return the index of the baseline curve or -1 if not identified
int get_baseline_idx() const;
/// @return the index of the perfusion curve or -1 if not identified
int get_perfusion_idx() const;
/// @return the time index of the RV peak image or -1 if not identified
int get_RV_peak()const;
/// @return the time index of the LV peak image or -1 if not identified
int get_LV_peak() const;
/** @returns get main breathing movement component energy. */
float get_movement_indicator() const;
/** @returns get number of movement components. */
size_t get_number_of_movement_components() const;
/** @returns the general result of the identification */
EAnalysisResult result() const;
private:
struct CWaveletSlopeClassifierImpl *impl;
};
NS_MIA_END
#endif
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