[ITK] [ITK-users] Cerebral Spinal Fluid Extraction from 3D Image

Dženan Zukić dzenanz at gmail.com
Tue Apr 19 09:42:52 EDT 2016


Hi Abdelkhalek,

applying superpixels <http://www.kev-smith.com/papers/SLIC_Superpixels.pdf> to
an image hardly counts as segmentation. It can be thought of as a first
step in some segmentation method. You can think of it as a step to reduce
the resolution of your data in a meaningful way, so your method can run
faster. But superpixels is not segmentation. Hence, you still end up with
an open-ended question of how to segment CSF.

Regards

On Mon, Apr 18, 2016 at 11:09 AM, Abdelkhalek Bakkari <
bakkari.abdelkhalek at hotmail.fr> wrote:

>  "Segmented Dicom Image" = I segmented MRI Images using superpixels
> algorithm.
>
>
>
> Abdelkhalek Bakkari
> Ph.D candidate in Computer Science
> Institute of Applied Computer Science
> Lodz University of Technology, Poland
>
>
>
>
> ------------------------------
> From: dzenanz at gmail.com
> Date: Tue, 29 Mar 2016 11:04:41 -0400
> Subject: Re: [ITK] [ITK-users] Cerebral Spinal Fluid Extraction from 3D
> Image
> To: bakkari.abdelkhalek at hotmail.fr
> CC: insight-users at itk.org
>
>
> Hi Abdelkhalek,
>
> what do you mean by "Segmented Dicom Image"? How is it segmented? If it is
> unsegmented (as I suspect), it is not really trivial. What is the imaging
> modality, CT or MRI (and which sequence)? Your question is simply too
> open-ended to give a useful answer.
>
> Regards,
> Dženan
>
> On Fri, Mar 25, 2016 at 5:23 PM, Abdelkhalek Bakkari <
> bakkari.abdelkhalek at hotmail.fr> wrote:
>
> Hi !
>
> I would like to extract the CSF (Cerebral Spinal Fluid) from a 3D
> Segmented Dicom Image (.dcm) using ITK.
>
> Any help ! Any suggestion ! please.
>
> Best regards,
>
>
> Abdelkhalek Bakkari
> Ph.D candidate in Computer Science
> Institute of Applied Computer Science
> Lodz University of Technology, Poland
>
>
>
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