[Insight-users] confidence connected filter applied to brain web data: the example gives incorrect segmentation!

[sara meghellati]

Hi Luis , 
Unless I'm mistaken, I have applied the confidence connected filter as descripted in the itk book page 507,  but I couldn't get te same result as in the book ! the segmentation is very bad. 
I have applied this filter to the volume /BrainPart2/Brain/brainweb165a10f17.mha  using  
itk::GradientAnisotropicDiffusionImageFilter
with the folling param
//filter->SetNumberOfIterations( 2 );
//filter->SetTimeStep( 0.05 );
//filter->SetConductanceParameter( 3 );
and 
confidenceConnected->SetMultiplier(2.5 ); 
// confidenceConnected->SetNumberOfIterations(5);
// confidenceConnected->SetReplaceValue(255); 
// confidenceConnected->SetInitialNeighborhoodRadius(2);
 
and the seeds points 
 
InputImageType::IndexType index1; 
// index1[0] = atoi("118"); // Convert a string to integer.
// index1[1] = atoi("85");
// index1[2] = atoi("92");
//
// InputImageType::IndexType index2;
// index2[0] = atoi( "63" );
// index2[1] = atoi( "87" );
// index2[2] = atoi( "94" );
//
// InputImageType::IndexType index3;
// index3[0] = atoi( "63" );
// index3[1] = atoi( "157" );
// index3[2] = atoi( "90" );
//
// InputImageType::IndexType index4;
// index4[0] = atoi( "111" );
// index4[1] = atoi( "188" );
// index4[2] = atoi( "90" );
//
// InputImageType::IndexType index5;
// index5[0] = atoi( "111" );
// index5[1] = atoi( "50" );
// index5[2] = atoi( "88" );
 
As you can see all the parms that I have used as the same as described in the book.
please could you chek and tell me if I'm wrong.
 
Thanks 
Sara
 


      
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