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
|
/*
//
// Copyright 1997-2009 Torsten Rohlfing
//
// Copyright 2004-2013 SRI International
//
// This file is part of the Computational Morphometry Toolkit.
//
// http://www.nitrc.org/projects/cmtk/
//
// The Computational Morphometry Toolkit 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.
//
// The Computational Morphometry Toolkit 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 the Computational Morphometry Toolkit. If not, see
// <http://www.gnu.org/licenses/>.
//
// $Revision: 5436 $
//
// $LastChangedDate: 2018-12-10 19:01:20 -0800 (Mon, 10 Dec 2018) $
//
// $LastChangedBy: torstenrohlfing $
//
*/
#include <cmtkconfig.h>
#include <System/cmtkCommandLine.h>
#include <System/cmtkExitException.h>
#include <System/cmtkConsole.h>
#include <IO/cmtkVolumeIO.h>
#include <vector>
#include <string>
#include <Segmentation/cmtkLabelCombinationLocalVoting.h>
int
doMain
( const int argc, const char *argv[] )
{
std::string targetImagePath;
std::vector<std::string> atlasImagesLabels;
bool detectGlobalOutliers = false;
size_t patchRadius = 5;
bool useGlobalWeights = false;
std::string outputImagePath = "lvote.nii";
cmtk::Types::DataItem paddingValue = 0;
bool paddingFlag = false;
try
{
cmtk::CommandLine cl;
cl.SetProgramInfo( cmtk::CommandLine::PRG_TITLE, "Local voting." );
cl.SetProgramInfo( cmtk::CommandLine::PRG_DESCR, "This tool combines multiple segmentations fro co-registered and reformatted atlases using locally-weighted voting." );
cl.SetProgramInfo( cmtk::CommandLine::PRG_SYNTX, "lvote [options] targetImage atlasIntensity1 atlasLabels1 [atlasIntensity2 atlasLabels2 [...]]" );
cl.AddParameter( &targetImagePath, "TargetImage", "Target image path. This is the image to be segmented." )->SetProperties( cmtk::CommandLine::PROPS_IMAGE );
cl.AddParameterVector( &atlasImagesLabels, "AtlasImagesLabels", "List of reformatted atlas intensity and label images. This must be an even number of paths, where the first path within each pair is the intensity channel of"
"an atlas, and the second a label map channel of the same atlas, each reformatted into the space of the target image via an appropriate registration.");
typedef cmtk::CommandLine::Key Key;
cl.BeginGroup( "input", "Input Options" );
cl.AddOption( Key( "set-padding-value" ), &paddingValue, "Set padding value for input intensity images. Pixels with this value will be ignored.", &paddingFlag );
cl.EndGroup();
cl.BeginGroup( "combine", "Label Combination Options" );
cl.AddOption( Key( "patch-radius" ), &patchRadius, "Radius of image patch (in pixels) used for local similarity computation." );
cl.AddSwitch( Key( "use-global-weights" ), &useGlobalWeights, true, "Use global weights per atlas to normalize the patch-pased local similarity scores." );
cl.AddSwitch( Key( "no-global-outliers" ), &detectGlobalOutliers, true, "Detect and exclude global outliers by removing poorly correlated atlases prior to local voting procedure." );
cl.EndGroup();
cl.BeginGroup( "output", "Output Options" );
cl.AddOption( Key( 'o', "output" ), &outputImagePath, "File system path for the output image." );
cl.EndGroup();
cl.Parse( argc, argv );
if ( atlasImagesLabels.size() < 2 )
{
throw cmtk::CommandLine::Exception( "List of atlas intensity and label images must have at least two entries (one image and one label map file)" );
}
if ( atlasImagesLabels.size() % 2 )
{
throw cmtk::CommandLine::Exception( "List of atlas intensity and label images must have an even number of entries (one image and one label map file per atlas)" );
}
}
catch ( const cmtk::CommandLine::Exception& e )
{
cmtk::StdErr << e << "\n";
throw cmtk::ExitException( 1 );
}
cmtk::UniformVolume::SmartPtr targetImage = cmtk::VolumeIO::Read( targetImagePath );
cmtk::LabelCombinationLocalVoting lvote( targetImage );
lvote.SetPatchRadius( patchRadius );
lvote.SetUseGlobalAtlasWeights( useGlobalWeights );
for ( size_t atlasIdx = 0; atlasIdx < atlasImagesLabels.size(); atlasIdx += 2 )
{
cmtk::UniformVolume::SmartPtr atlasImage = cmtk::VolumeIO::Read( atlasImagesLabels[atlasIdx] );
if ( !atlasImage )
{
cmtk::StdErr << "ERROR: could not read atlas intensity image " << atlasImagesLabels[atlasIdx] << "\n";
throw cmtk::ExitException( 1 );
}
cmtk::UniformVolume::SmartPtr atlasLabels = cmtk::VolumeIO::Read( atlasImagesLabels[atlasIdx+1] );
if ( !atlasLabels )
{
cmtk::StdErr << "ERROR: could not read atlas label image " << atlasImagesLabels[atlasIdx+1] << "\n";
throw cmtk::ExitException( 1 );
}
if ( paddingFlag )
{
atlasImage->GetData()->SetPaddingValue( paddingValue );
}
lvote.AddAtlas( atlasImage, atlasLabels );
}
if ( detectGlobalOutliers )
lvote.ExcludeGlobalOutliers();
targetImage->SetData( lvote.GetResult() );
if ( !outputImagePath.empty() )
{
cmtk::VolumeIO::Write( *targetImage, outputImagePath );
}
return 0;
}
#include "cmtkSafeMain"
|