[Insight-users] Re : how to reduce a size of a dicom serie 3D

[Syrine Sahmim]

hi,
if we try to use this filter or any other method to reduce the size of dicom volume. we will lose the quality of the dicom volume because we will eliminate some voxels. My problem is how to do to reduce the volume without modifying the quality of data. Can i choos some slices randomly from the dicom seroies that i have and eliminate others to test it on matlab and then on itk or vtk
Regards 
Syrine


________________________________
De : Xabier Artaechevarria <xabiarta at unav.es>
À : Syrine Sahmim <syrine.sahmim at yahoo.fr>
Cc : insight-users at itk.org
Envoyé le : Ven 13 Novembre 2009, 11 h 38 min 42 s
Objet : Re: [Insight-users] how to reduce a size of a dicom serie 3D

Hi Syrine,

you can try this ITK filter:

http://www.itk.org/Doxygen/html/classitk_1_1ShrinkImageFilter.html

Regards,
Xabier


2009/11/13 Syrine Sahmim <syrine.sahmim at yahoo.fr>

Hi,
>
>I'm testing a code on matlab to see the result before doing it on itk or vtk.the error i have is a warning "out of memory". So i guess that i have to reduce the size of the dicom serie 3D that i use. I tried on matlab the imresize function but there are some problem with it.
>>If someone tells me  how to do it on itk or vtk or even matlab.
>Thank you
>
>Regards
>syrine
>
>
>
>
________________________________
De : Roman Grothausmann <roman.grothausmann at helmholtz-berlin.de>
>À : insight-users at itk.org
>Envoyé le : Ven 13 Novembre 2009, 10 h 31 min 48 s
>Objet : Re: [Insight-users] equivalence of Gaussian and low-pass-FFT
>
>Thanks every body for the answers. With Insight-book I mean Insight Into Images: http://www.akpeters.com/product.asp?ProdCode=2175
>
>So it's only equivalent if I multiply the FFT with the FFT of the convolution Kernel I use in real space.
>I think though there's one difference: Using the FFT allows to reduce the discretization (a better discrete interpolation) of the result since it's calculated with floating point precision. Convolving with a (wide) Gaussian gives me very few grey values.
>
>Regards,
>Roman
>
>C.Cagatay Bilgin wrote:
>> Your question is actually independent of the ITK
>>
> usage. Convolution in time domain corresponds
>> to multiplication in frequency domain, so gaussian
>> filtering your image is actually multiplying the FFT
>> of your image with the FFT of the gaussian filter you
>>> used (you might need some padding as most probably
>> your gaussian filter is was smaller than your image).
>> 
>> If you want to clean up your image a little, I would say
>> do not go to FFT just do it in time domain using the
>>> gaussian filters provided in the toolkit as you will
>> need less number of lines of code.
>> 
>> By the way, is the Insight-Book are you referring
>> the software manual or something else ?
>> 
>>> Regards,
>> ---------------------------------------------------------------------------- 
>> Cemal Cagatay Bilgin,
>> Ph.D Candidate in Computer Science Department at RPI
>> bilgic at cs.rpi.edu - http://www.cs.rpi.edu/~bilgic
>>> Lally 01A, 110 8th Street Troy, NY 12180-3590, USA.
>> Tel: (518) 276-8489, Fax:(518) 276-4033
>> 
>> On Nov 12, 2009, at 10:46 AM, Roman Grothausmann wrote:
>> 
>
>
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