[Insight-users] DiffusionTensor3D and interpolation

[Karthik Krishnan]

Jeffrey,

I am not sure what the correct answer is. Its based on Torsten and your 
contributions, so you know the best answer. But here's the issue anyway.

SymmetricSecondRankTensor and DiffusionTensor3D classes are meant to 
represent 2D matrices and fake fixed arrays cause they are symmetric. As 
of the now the API that they provide is consistent with 2D matrices and 
not vectors (or fixedarrays). VectorInterpolateImageFunction assumes 
that the data is a FixedArray. So deriving from 
VectorInterpolateImageFunction may not be appropriate. Just an opinion...

karthik

Jeffrey Duda wrote:

> Hi,
> I'm working on writing some interpolators for diffusion tensor data 
> and initially was planning on deriving from 
> VectorInterpolateImageFunction.  However, this is designed to have a 
> return pixel type of FixedArray< InputPixelType::ValueType, 
> InputPixelType::Dimension >.  This is a problem because when using the 
> DiffusionTensor3D class, the Dimension is 3, but the InternalDimension 
> is 6 which is what is actually needed in this case.  It would be easy 
> enough to write a new base class ( ie.. TensorInterpolateImageFunction 
> ) that uses InternalDimension instead of Dimension but seems like a 
> bit of a waste since the rest of the code would be almost identical to 
> the existing code.  Is there a work-around for this that I missed or 
> any plans for dealing with this particular issue?
>
> thanks
> -jeffrey duda
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