[Insight-users] Load Vector Image with itk-Python
Oscar Esteban
oesteban at die.upm.es
Mon Jun 27 12:32:32 EDT 2011
Hi Dženan,
Thank you very much for your answer, I will try it as 4D image. Probably it
will work :)
The problem is that I selected the component vector because I didn't find a
way to add a new timestep to a 4D image in ITK-Python :( . Any clue?
Bests, and thank you all again :)
Oscar Esteban
*______________________________________*
*Oscar Esteban*
PhD Student / Researcher
Biomedical Image Technologies (Universidad Politécnica de Madrid)
ETSI Telecomunicación (Lab. C203)
Av. Complutense s/n - E-28040 Madrid (Spain)
+34 915 495 700 ext.4234
On 27 June 2011 09:43, Dženan Zukić <dzenanz at gmail.com> wrote:
> Well your file was written as a 4D image, the vector components being the
> 4th dimension.
>
> It should not be hard to convert the 4th dimension to 62-component vectors
> in 3D image. I do not have any code excerpts which would help you though.
>
> HTH,
> Dženan
>
> On Mon, Jun 27, 2011 at 09:18, Oscar Esteban <oesteban at die.upm.es> wrote:
>
>> Hi Gaëtan,
>>
>> "print r" gives me the next output:
>>
>> <C itk::SmartPointer<(itk::ImageFileReader<(itk::VectorImage<(unsigned
>>> short,3u)>,itk::DefaultConvertPixelTraits<(unsigned short)>)>)> instance at
>>> _8058f60600000000_p_itk__SmartPointerTitk__ImageFileReaderTitk__VectorImageTunsigned_short_3u_t_itk__DefaultConvertPixelTraitsTunsigned_short_t_t_t>
>>
>>
>> These are the headers:
>>
>>> $ mri_info DTI.nii.gz
>>> Volume information for DTI.nii.gz
>>> type: nii
>>> dimensions: 128 x 128 x 44 x 62
>>> voxel sizes: 2.0000, 2.0000, 3.0000
>>> type: FLOAT (3)
>>> fov: 256.000
>>> dof: 0
>>> xstart: -128.0, xend: -128.0
>>> ystart: -128.0, yend: -128.0
>>> zstart: -66.0, zend: -66.0
>>> TR: 5043.00 msec, TE: 0.00 msec, TI: 0.00 msec, flip angle:
>>> 0.00 degrees
>>> nframes: 62
>>> PhEncDir: UNKNOWN
>>> ras xform present
>>> xform info: x_r = -1.0000, y_r = 0.0000, z_r = 0.0000, c_r =
>>> 6.7797
>>> : x_a = 0.0000, y_a = 1.0000, z_a = 0.0000, c_a =
>>> 50.8135
>>> : x_s = 0.0000, y_s = 0.0000, z_s = 1.0000, c_s =
>>> 21.9552
>>> Orientation : LAS
>>> Primary Slice Direction: axial
>>>
>>> voxel to ras transform:
>>> -2.0000 0.0000 0.0000 134.7797
>>> 0.0000 2.0000 0.0000 -77.1865
>>> 0.0000 0.0000 3.0000 -44.0448
>>> 0.0000 0.0000 0.0000 1.0000
>>>
>>> voxel-to-ras determinant -12
>>>
>>> ras to voxel transform:
>>> -0.5000 0.0000 0.0000 67.3898
>>> -0.0000 0.5000 -0.0000 38.5932
>>> -0.0000 -0.0000 0.3333 14.6816
>>> 0.0000 0.0000 0.0000 1.0000
>>
>>
>> $ mri_info test.nii.gz
>>> Volume information for test.nii.gz
>>> type: nii
>>> dimensions: 128 x 128 x 44
>>> voxel sizes: 2.0000, 2.0000, 3.0000
>>> type: FLOAT (3)
>>> fov: 256.000
>>> dof: 0
>>> xstart: -128.0, xend: -128.0
>>> ystart: -128.0, yend: -128.0
>>> zstart: -66.0, zend: -66.0
>>> TR: 0.00 msec, TE: 0.00 msec, TI: 0.00 msec, flip angle: 0.00
>>> degrees
>>> nframes: 1
>>> PhEncDir: UNKNOWN
>>> ras xform present
>>> xform info: x_r = -1.0000, y_r = 0.0000, z_r = 0.0000, c_r =
>>> 6.7797
>>> : x_a = 0.0000, y_a = -1.0000, z_a = 0.0000, c_a =
>>> -205.1865
>>> : x_s = 0.0000, y_s = 0.0000, z_s = 1.0000, c_s =
>>> 21.9552
>>> Orientation : LPS
>>> Primary Slice Direction: axial
>>> voxel to ras transform:
>>> -2.0000 0.0000 0.0000 134.7797
>>> 0.0000 -2.0000 0.0000 -77.1865
>>> 0.0000 0.0000 3.0000 -44.0448
>>> 0.0000 0.0000 0.0000 1.0000
>>> voxel-to-ras determinant 12
>>> ras to voxel transform:
>>> -0.5000 0.0000 0.0000 67.3898
>>> 0.0000 -0.5000 0.0000 -38.5932
>>> -0.0000 -0.0000 0.3333 14.6816
>>> 0.0000 0.0000 0.0000 1.0000
>>
>>
>> I'm sorry about the delay, but the list rejected previous emails
>> containing image captures.
>>
>> Thanks. Best Regards,
>>
>>
>>
>> *______________________________________*
>> *Oscar Esteban*
>> PhD Student / Researcher
>> Biomedical Image Technologies (Universidad Politécnica de Madrid)
>>
>> ETSI Telecomunicación (Lab. C203)
>> Av. Complutense s/n - E-28040 Madrid (Spain)
>> +34 915 495 700 ext.4234
>>
>>
>>
>> 2011/6/21 Gaëtan Lehmann <gaetan.lehmann at jouy.inra.fr>
>>
>>>
>>> Hi,
>>>
>>> Le 21 juin 11 à 17:52, Oscar Esteban a écrit :
>>>
>>>
>>> Hi all,
>>>>
>>>> I'm trying to load a 62 component vector image with itk using the Python
>>>> wrapping. I executed this:
>>>>
>>>> 1: import itk
>>>> 2: r = itk.ImageFileReader.VIUS3.New( FileName='DTI.nii.gz' )
>>>>
>>>
>>> can you run
>>>
>>> r.Update()
>>> print r
>>>
>>> at this point, and give us the result?
>>>
>>>
>>> 3: im = r.GetOutput()
>>>> 4: im.SetVectorLength(62)
>>>> 5: w = itk.ImageFileWriter.VIUS3.New( im, FileName='test.nii.gz' )
>>>> 6: w.Update()
>>>>
>>>> I also tried with im.SetNumberOfPixelCompoents( 62 )
>>>>
>>>> But test.nii.gz only contains 1 component (and, I think it is written
>>>> as if it were a 62-component file).
>>>>
>>>>
>>> can you show us the header of that file, or even better, the actual file?
>>>
>>>
>>> How should I configure the FileReader to get the 62 components?
>>>>
>>>
>>> It should read the image with the right number of components...
>>>
>>> Regards,
>>>
>>> Gaëtan
>>>
>>>
>>> How should I add new components?
>>>>
>>>> thanks. Best Regards,
>>>>
>>>> Oscar Esteban
>>>>
>>>>
>>>> ______________________________**________
>>>> Oscar Esteban
>>>> PhD Student / Researcher
>>>> Biomedical Image Technologies (Universidad Politécnica de Madrid)
>>>>
>>>> ETSI Telecomunicación (Lab. C203)
>>>> Av. Complutense s/n - E-28040 Madrid (Spain)
>>>> +34 915 495 700 ext.4234
>>>> +34 659 639 123
>>>>
>>>> ______________________________**_______
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>>>
>>> --
>>> Gaëtan Lehmann
>>> Biologie du Développement et de la Reproduction
>>> INRA de Jouy-en-Josas (France)
>>> tel: +33 1 34 65 29 66 fax: 01 34 65 29 09
>>> http://mima2.jouy.inra.fr http://www.itk.org
>>> http://www.bepo.fr
>>>
>>>
>>
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>
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