[ITK] Segmentation of PET image

[Cyril Jaudet]

Hello Timothee,

I plan to segment rectal tumor. So it is a specific structure but it is
near the bladder who have a high signal in PET. Here an image with the
green label segmented with an adaptative (need calibration curve) contrast
based method.


[image: Images intégrées 1]

Thank you,
Cyril

2015-07-31 11:23 GMT+02:00 Timothee Evain <tevain at telecom-paristech.fr>:

> Hello Cyril,
>
> What are you trying to segment ?
> Do you expect a full image segmentation or are you targeting specific
> structures?
>
> Tim
>
> ----- Mail original -----
> De: "Cyril Jaudet" <drcjaudet at gmail.com>
> À: community at itk.org
> Envoyé: Vendredi 31 Juillet 2015 10:24:30
> Objet: [ITK] Segmentation of PET image
>
> Hello ITk community,
>
> I am looking for a robust method to segment positron emissopn tomography
> image in a multicenter study. The image are blurry and with a lot of noise.
> One approach who seems reproductible but need a calibration of each PET is
> a simple region growing algorithme.
> One old itk approach seems very interesting by combining fuzzy connected
> image filter and Voronoi segmentation image filter. However if i understand
> well the fuzzy method were patented.
> Do you know if there is a similar way for perfoming these kind of
> segmentation?
>
> Thank's you,
> Cyril Jaudet, PhD
> UZ Brussel
>
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