[Insight-users] Question regarding BSplineScatteredDataPointSetToImageFilter

Nicholas Tustison ntustison at gmail.com
Tue Jan 10 07:02:19 EST 2012


Hi Kerstin,

Please keep the correspondence on the user's list.  

Why are you setting your vector to all zeros? 

>             VectorType v;
>             v[0] = 0.0;
>             v[1] = 0.0;
>             v[2] = 0.0;

and why are you setting the location of your points to 
(idx,idx,idx,t)?

>             point[0] = idx;
>             point[1] = idx;
>             point[2] = idx;
>             point[3] = t;

That can't possibly be right.  Did you look at the sample
code I gave you?

Nick



On Jan 9, 2012, at 2:04 AM, Kerstin Müller wrote:

> Hi,
> 
> thank you very much!
> However I'm still struggeling with a heap corruption problem. I'm not sure if I set my parameters correct.
> 
>     typedef float RealType;
>     
>     typedef itk::Vector<RealType, 3> VectorType;
>     typedef itk ::Image <VectorType , 4 > TimeVaryingDeformationFieldType;
>     typedef itk :: PointSet <VectorType , 4 > TimeVaryingDeformationFieldPointSetType;
> 
>     TimeVaryingDeformationFieldPointSetType::Pointer fieldPoints = TimeVaryingDeformationFieldPointSetType:: New ();
>     fieldPoints->Initialize();
> 
>     // Set the sample points just for testing 10 linear points no movement
>     for ( int t = 0; t < m_configuration.num_projections ; t++ ) 
>     {
>         int num = 0;
>         for( int idx = 0; idx <= 10; idx++ )
>         {
>             
>             VectorType v;
>             v[0] = 0.0;
>             v[1] = 0.0;
>             v[2] = 0.0;
> 
>             
>             TimeVaryingDeformationFieldPointSetType::PointType point;
>             point[0] = idx;
>             point[1] = idx;
>             point[2] = idx;
>             point[3] = t;
> 
>             fieldPoints->SetPoint( num, point );
>             fieldPoints->SetPointData(num, v);
>             num++;
> 
>         }
>     }
> 
> 
>     TimeVaryingDeformationFieldType::PointType        origin;
>     TimeVaryingDeformationFieldType::SpacingType    spacing;
>     TimeVaryingDeformationFieldType::SizeType        size;
> 
>     // Define the parametric domain
>     spacing[0] = 1.0f;
>     spacing[1] = 1.0f;
>     spacing[2] = 1.0f;
>     spacing[3] = 2.0f;
> 
>     size[0] = 128;
>     size[1] = 128;
>     size[2] = 128;
>     size[3] = 66;
>     
>     origin[0] = 0.0f;
>     origin[1] = 0.0f;
>     origin[2] = 0.0f;
>     origin[3] = 0.0f;
> 
>     // Define the filter and set the parameters
>     typedef itk::myBSplineScatteredDataPointSetToImageFilter<TimeVaryingDeformationFieldPointSetType, TimeVaryingDeformationFieldType> BSplineFilterType;
>     BSplineFilterType::Pointer filter = BSplineFilterType::New();
> 
>     filter ->SetSize( size );
>     filter ->SetOrigin( origin );
>     filter ->SetSpacing( spacing );
>     filter -> SetGenerateOutputImage ( false );
>     filter -> SetNumberOfLevels ( 2 );
>     filter -> SetSplineOrder ( 3 );
> 
>     
>     BSplineFilterType :: ArrayType ncps;
>     ncps.SetElement(0,8);
>     ncps.SetElement(1,8);
>     ncps.SetElement(2,8);
>     ncps.SetElement(3,34);
>     filter -> SetNumberOfControlPoints ( ncps );
>     
>     filter ->SetInput( fieldPoints );
> 
>     filter->SetDebug(true);
> 
>     try
>     {
>         filter ->Update ();
>     }
>     catch ( itk::ExceptionObject & excp )
>     {
>         std :: cerr << "Test 2: itkBSplineScatteredDataImageFilter exception thrown" << std:: endl;
>         std::cerr<< excp <<std::endl;
>     }
> 
> Thank you very much!
> 
> Best,
> 
> Kerstin
> 2012/1/4 Nicholas Tustison <ntustison at gmail.com>
> Okay, here's some pseudocode which hasn't been tested
> since you have to provide it the interface to your values 
> but you should get the general idea.
> 
>   typedef float RealType;
>   typedef itk::Image<RealType, ImageDimension> RealImageType;
> 
>   // Read in your reference image which will define the domain of 
>   // your B-spline displacement field.  Assume, for simplicity, that it
>   // has identity direction
> 
>   typedef itk::ImageFileReader<RealImageType> ImageReaderType;
>   typename ImageReaderType::Pointer reader = ImageReaderType::New();
>   reader->SetFileName( XXXX );
>   reader->Update();
> 
>   typedef itk::Vector<RealType, ImageDimension> VectorType;
>   typedef itk::Image<VectorType, ImageDimension+1> TimeVaryingDeformationFieldType;
> 
>   typedef itk::PointSet<VectorType, ImageDimension+1> TimeVaryingDeformationFieldPointSetType;
>   typename TimeVaryingDeformationFieldPointSetType::Pointer fieldPoints =
>     TimeVaryingDeformationFieldPointSetType::New();
>   fieldPoints->Initialize();
>   unsigned long count = 0;
> 
>   // Assume points are stored in a 2-D matrix called 'mySamplePoints' where the column
>   // is the time point and the row is the point
> 
>   for( unsigned int t = 0; t < numberOfTimePoints; t++ )
>     {
>     for( unsigned int n = 0;  n < numberOfPointsPerTimePoint; n++ )
>       {
>       VectorType displacement = mySamplePoints[n][t] - mySamplePoints[n][0];
>       
>       TimeVaryingDeformationFieldPointSetType::PointType parametric point;
>       for( unsigned int d = 0; d < ImageDimension; d++ )
>         {
>         point[d] = ( mySamplePoints[n][0] )[d];
>         }
>       point[ImageDimension] = t;
> 
>       fieldPoints->SetPoint( count, point );
>       fieldPoints->SetPointData( count, displacement );
>       count++;
>       }
>     }   
> 
>   TimeVaryingDeformationFieldType::PointType origin;
>   TimeVaryingDeformationFieldType::SpacingType spacing;
>   TimeVaryingDeformationFieldType::SizeType size;
> 
>    for( unsigned int d = 0; d < ImageDimension; d++ )
>       {
>       origin[d] = reader->GetOutput()->GetOrigin()[d];
>       size[d] = reader->GetOutput()->GetLargestPossibleRegion().GetSize()[d];
>       spacing[d] = reader->GetOutput()->GetSpacing()[d];
>       }
>   // Now include the temporal information.  You can change this to whatever
>   // resolution you like.  You just need to make sure that 
>   //  ( size[ImageDimension] - 1 ) * spacing[ImageDimension] = ( numberOfTimePoints - 1)
>   // 
>   origin[ImageDimension] = 0;
>   size[ImageDimension]  = numberOfTimePoints - 1;
>   spacing[ImageDimension] = 1;
> 
>   typedef itk::BSplineScatteredDataPointSetToImageFilter
>     <TimeVaryingDeformationFieldPointSetType, TimeVaryingDeformationFieldType> BSplineFilterType;
>   typename BSplineFilterType::Pointer bspliner = BSplineFilterType::New();
>   bspliner->SetOrigin( origin );
>   bspliner->SetSpacing( spacing );
>   bspliner->SetSize( size );
>   bspliner->SetGenerateOutputImage( XXXX );
>   bspliner->SetNumberOfLevels( XXXX );
>   bspliner->SetSplineOrder( XXXX );
>   bspliner->SetNumberOfControlPoints( XXXX );
>   bspliner->SetInput( fieldPoints );
>   bspliner->Update();
> 
> 
> 
> 
> On Jan 4, 2012, at 2:52 AM, Kerstin Müller wrote:
> 
>> Hi,
>> 
>> yes correctly.
>> 
>> 2012/1/3 Nicholas Tustison <ntustison at gmail.com>
>> Okay, I'm assuming that these points correspond in 
>> time, correct?  For example, point 937 in time point 0
>> corresponds to point 937 in time point 1, 2, 3, ...133,
>> right?  
>> 
>> 
>> 
>> On Jan 3, 2012, at 11:55 AM, Kerstin Müller wrote:
>> 
>>> Hi,
>>> 
>>> the basic problem I wanna solve:
>>> 
>>> I'll have scattered points in 3D which vary over time, they describe a motion of a surface over time. They are not ordered in x-y-and z-dimension.
>>> Now I want to represent that motion by BSplines in order to generate a dense motion vector field defined on specific 3D voxel positions.
>>> I'll have 133 timesteps and ~960 sample points in each time step. Now I want to fit the BSpline to it and resample it.
>>> 
>>> All the best,
>>> 
>>> Kerstin
>>> 
>>> 2012/1/3 Nicholas Tustison <ntustison at gmail.com>
>>> In that case, let's start with the basic problem set-up.
>>> Before, you described your problem as follows:
>>> 
>>> 
>>>>> I'm using the BSplineScatteredDataPointSetToImageFilter from the Insight Journal. However,
>>>>> I cannot find the correct parameter in order to make the filter work and does not crash during the evaluation.
>>>>> I'll have scattered 3-D points over time and I want to fit a 4-D Bspline field to that points. Afterwards I want to evaluate the Bspline on a dense volume grid to one time step.
>>> 
>>> 
>>> What do these scattered 3D+t points represent?  
>>> Is it a curve, a time-varying scalar field, or something
>>> else?
>>> 
>>> 
>> 
>> 
> 
> 

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