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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317
|
/*=========================================================================
Program: ITK-SNAP
Module: $RCSfile: SNAPImageData.h,v $
Language: C++
Date: $Date: 2009/01/23 20:09:38 $
Version: $Revision: 1.4 $
Copyright (c) 2007 Paul A. Yushkevich
This file is part of ITK-SNAP
ITK-SNAP 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 this program. If not, see <http://www.gnu.org/licenses/>.
-----
Copyright (c) 2003 Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __SNAPImageData_h_
#define __SNAPImageData_h_
#include "SNAPCommon.h"
#include "IRISException.h"
#include "GlobalState.h"
#include "ColorLabel.h"
#include "ImageCoordinateGeometry.h"
#include "IRISImageData.h"
#include "SnakeParameters.h"
#include "SNAPLevelSetDriver.h"
#include <vector>
#include "SNAPLevelSetFunction.h"
#include "itkImageAdaptor.h"
#include "UndoDataManager.h"
namespace itk {
class Command;
class FastMutexLock;
}
class SNAPSegmentationROISettings;
/**
* \class SNAPImageData
* \brief Wrapper around the SNAP automatic segmentation pipelines.
*
* This class encapsulates several images used in the SNAP application,
* including the speed image, the bubble-initialization image and the
* segmentation result image.
*/
class SNAPImageData : public GenericImageData
{
public:
irisITKObjectMacro(SNAPImageData, GenericImageData)
// This class fires LevelSetImageChangeEvent
FIRES(LevelSetImageChangeEvent)
// The type of the internal level set image
typedef itk::Image<float,3> FloatImageType;
typedef Superclass::AnatomicImageType AnatomicImageType;
typedef SpeedImageWrapper::ImageType SpeedImageType;
typedef LevelSetImageWrapper::ImageType LevelSetImageType;
/** Initialize to an ROI from another image data object */
void InitializeToROI(GenericImageData *source,
const SNAPSegmentationROISettings &roi,
itk::Command *progressCommand);
/**
Unload all images in the SNAP image data, releasing memory and returning
this object to initial state.
*/
void UnloadAll();
/**
* Get the preprocessed (speed) image wrapper
*/
SpeedImageWrapper* GetSpeed();
/**
* Initialize the Speed image wrapper to blank data
*/
void InitializeSpeed();
/**
* Clear the preprocessed (speed) image (discard data, etc)
*/
void ClearSpeed()
{ m_SpeedWrapper->Reset(); }
/**
* Check the preprocessed image for validity
*/
bool IsSpeedLoaded();
/** Get the current snake image wrapper */
LevelSetImageWrapper* GetSnake();
/**
* Clear the current snake (discard data, etc)
*/
void ClearSnake()
{ m_SnakeWrapper->Reset(); }
/**
* Check the current snake for validity
*/
bool IsSnakeLoaded();
/**
* This optional method allows us to load an external advection
* field. This field can be used when image data includes some
* directional components, i.e., DTI
*/
void SetExternalAdvectionField( FloatImageType *imgX,
FloatImageType *imgY, FloatImageType *imgZ);
/** This method reverts back to using gradient based advection fields */
void RemoveExternalAdvectionField()
{ m_ExternalAdvectionField = NULL; }
/** Set the color label used for the segmentation */
irisSetMacro(ColorLabel, ColorLabel);
irisGetMacro(ColorLabel, ColorLabel);
/** =========== Methods dealing with the segmentation pipeline ============ */
/**
* This method computes the two-sided distance transform from the array of
* bubbles passed on and, if the segmentation image is not blank, the pixels
* in that image. This method also initializes the level set driver, ie, the
* pipeline driving the segmentation process. This method may take a while
* to run because of the distance transforms.
*
* @return If there were no voxels of labelColor in the union of the
* segmentation image with the bubbles, false will be returned and
* initialization will not be completed. Otherwise, true will be returned.
*/
bool InitializeSegmentation(const SnakeParameters ¶meters,
const std::vector<Bubble> &bubbles, unsigned int labelColor);
/** Run the segmentation for a fixed number of iterations */
void RunSegmentation(unsigned int nIterations);
/** Revert the segmentation to the beginning */
void RestartSegmentation();
/** Check for convergence */
bool IsEvolutionConverged();
/** Update the segmentation parameters, can be done either from the
* segmentation pipeline callback or on the fly. This method is smart enough
* to reinitialize the level set driver if the Solver parameter changes */
void SetSegmentationParameters(const SnakeParameters ¶meters);
/** Check if the segmentation is active */
bool IsSegmentationActive() const
{ return m_LevelSetDriver != NULL; }
/** Get the number of elapsed iterations */
unsigned int GetElapsedSegmentationIterations() const;
/** Release the resources associated with the level set segmentation. This
* method must be called once the segmentation pipeline has terminated, or
* else it would create a nasty crash */
void TerminateSegmentation();
/** ====================================================================== */
/**
* Merge the segmentation result with the segmentation contained in a
* IRIS image data object.
*/
void MergeSnakeWithIRIS(IRISImageData *target) const;
/**
* Get the level set image currently being evolved
*/
LevelSetImageType *GetLevelSetImage();
/** This method is public for testing purposes. It will give a pointer to
* the level set function used internally for segmentation */
SNAPLevelSetDriver<3>::LevelSetFunctionType *GetLevelSetFunction();
/**
* SNAPImageData provides a mutex lock that prevents multiple threads from
* causing the level set pipeline to update at once. In particular this
* can happen if the meshes are being generated from the level set data
* in a background thread
*/
irisGetMacro(LevelSetPipelineMutexLock, itk::FastMutexLock *)
/** ====================================================================== */
/* SUPPORT FOR EXAMPLES */
void SwitchLabelImageToExamples();
void SwitchLabelImageToMainSegmentation();
/** Is the label image currently switched to example (squiggles) mode? */
irisIsMacro(LabelImageInExampleMode)
protected:
SNAPImageData();
~SNAPImageData();
/** A functor for inverting an image */
class InvertFunctor {
public:
unsigned char operator()(unsigned char input)
{ return input == 0 ? 1 : 0; }
};
/** Copy nickname, settings, and other such junk from IRIS to SNAP during
* initialization */
void CopyLayerMetadata(ImageWrapperBase *target, ImageWrapperBase *source);
/** Initialize the driver used to control the snake. This driver is used to
* run the snake several iterations at a time, without resetting the filter
* between iteration blocks. After executing each block of iterations, the
* filter will call a callback routine, which is provided as a parameter to
* this method. In a UI environment, that callback routine should check for
* user input. */
void InitalizeSnakeDriver(const SnakeParameters ¶m);
/** A callback used internally to communicate with the LevelSetDriver */
void IntermediatePauseCallback(
itk::Object *object,const itk::EventObject &event);
/** Another callback, used in non-interactive mode */
void TerminatingPauseCallback();
/** Type of fommands used for callbacks to the user of this class */
typedef itk::SmartPointer<itk::Command> CommandPointer;
/** A callback for idle cycle of the segmentation pipeline */
CommandPointer m_SegmentationIdleCallback;
/** A callback made after an update in the segmentation pipeline */
CommandPointer m_SegmentationUpdateCallback;
// Speed image adata
SmartPtr<SpeedImageWrapper> m_SpeedWrapper;
// Wrapper around the level set image
SmartPtr<LevelSetImageWrapper> m_SnakeWrapper;
// Snake driver
SNAPLevelSetDriver<3> *m_LevelSetDriver;
// Label color used for the snake images
LabelType m_SnakeColorLabel;
// Current value of snake parameters
SnakeParameters m_CurrentSnakeParameters;
// Typedefs for defining the advection image that can be loaded externally
typedef itk::FixedArray<float, 3> VectorType;
typedef itk::Image< VectorType, 3> VectorImageType;
typedef itk::SmartPointer<VectorImageType> VectorImagePointer;
// The advection image
VectorImagePointer m_ExternalAdvectionField;
// The color label that is used for this segmentation
ColorLabel m_ColorLabel;
// SNAPImageData provides a mutex lock that prevents multiple threads from
// causing the level set pipeline to update at once.
SmartPtr<itk::FastMutexLock> m_LevelSetPipelineMutexLock;
// Are we in example mode
bool m_LabelImageInExampleMode;
// Compressed data for the example/main segmentation image
typedef UndoDataManager<LabelType>::Delta CompressedLabelImageType;
CompressedLabelImageType *m_CompressedAlternateLabelImage;
// Current ROI settings
SNAPSegmentationROISettings m_ROISettings;
void SwapLabelImageWithCompressedAlternative();
};
#endif
|