[ITK] Segmentation of PET image

[Timothee Evain]

So I guess your radioactive tracker is some kind of glucose that gonna yield a high signal on tumors?  
If so, maybe you could:
- use this information to threshold your images to get a coarse segmentation of high signal structures
- take this coarse segmentation as landmarks to try a watershed with markers : http://www.itk.org/Doxygen/html/classitk_1_1MorphologicalWatershedFromMarkersImageFilter.html

Don't forget to add a marker for the background also.

If you can't rely only on tumor signal, I suggest that you use the bladder as a hint to define a small region of interest around/under it to target the tumoral area.

Hope this helps,

Tim

----- Mail original -----
De: "Cyril Jaudet" <drcjaudet at gmail.com>
À: "Timothee Evain" <tevain at telecom-paristech.fr>
Cc: community at itk.org
Envoyé: Vendredi 31 Juillet 2015 11:44:11
Objet: Re: [ITK] Segmentation of PET image

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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