[Vv] clitkDicomRTStruct2Image and VTK5/VTK6⁩

[Thomas BAUDIER]

Hi Neree,

I just committed the modifications on the github:
https://github.com/open-vv/vv/commit/a1acb6a4338137b9f1fefab3803f07b75eac6c84

So with a "git pull" and a "make", it will work.

If you still have problems, don't hesitate to ask me.

Thomas

On 2017-05-22 10:22, Thomas BAUDIER wrote:
> Hi Neree,
> 
> Thank you for your feedback.
> I opened your console images and there is a little difference but it's
> normal. I'm not totally agree with you when you said it's a gold
> standard ; it's just the algorithms used to convert RTStruct to binary
> image are different. In vv:
>  - first, we use gdcm (https://sourceforge.net/projects/gdcm/) to read
> into the dicom tags the vertex coordinates
>  - they are stored into a vtkPolyData
> (http://www.vtk.org/doc/nightly/html/classvtkPolyData.html)
>  - We use vtkLinearExtrusionFilter
> (http://www.vtk.org/doc/nightly/html/classvtkLinearExtrusionFilter.html#details)
>  - And vtkPolyDataToImageStencil
> (http://www.vtk.org/doc/nightly/html/classvtkPolyDataToImageStencil.html#details)
> In the 3rd and 4th points, some assumptions are done. And if we
> compare with console, these assumptions are most likely different.
> 
> I compared the difference between the console images and the
> clitkDicomRTStruct2Image images. There is a perfect match for the
> tumor and the aorta (except for one pixel) and the some corners of the
> BDF are different due to the previous vtk functions.
> 
> I did my own test on my side, and you're right, the correct version is
> vtk5. I'll correct that bug and notify you when it will be done.
> 
> Thank you
> Thomas
> 
> 
> On 2017-05-16 20:51, Neree PAYAN wrote:
>> Dear Thomas,
>> 
>> To complete my remarks, the DicomRT-Struct has been converted into a
>> binary image (in nifti format) directly on clinical consols. After
>> verification, we can use these results as a gold standard. Then, we
>> should have the same binary image as output using the
>> clitkDicomRTStruct2Image command, but it’s not the case.
>> I join you the gold standard images for each ROI.
>> 
>> Thank you for your help,
>> Best regards,
>> 
>> Nérée
>>> Le 15 mai 2017 à 16:24, Neree PAYAN <nerea.payan at u-bourgogne.fr> a
>>> écrit :
>>> 
>>> Hi Thomas,
>>> 
>>> Thank you for your prompt reply.
>>> To answer your question, vtk5 seems to be the correct version.
>>> 
>>> For the second point, I have taken into account the interpolation
>>> for the conversion between Mesh and image. But in my case, the
>>> differences of shapes are very importante. I have three ROIs
>>> (tumour, aorta and healthy tissue) and I have a perfect match for
>>> the tumour ROI and big differences in the shapes for the two
>>> others…
>>> 
>>> Thank you for your help,
>>> Best regards,
>>> 
>>> Nérée
>>> 
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