[Insight-users] Recommendation of algorithms for liver vessel extraction

[Moti Freiman]

Hi,
i recommend you to enhance the image with a vesselness enhancement
filter which is available in ITK prior to the region growing method.
The vesselness filter doc is on:
http://www.itk.org/Doxygen318/html/classitk_1_1Hessian3DToVesselnessMeasureImageFilter.html

and the enhancement with it described in:
http://www.insight-journal.org/browse/publication/314 with itk based
code.

There are several papers deal with this problem. google "liver vessels
segmentation"  will yield my paper among others. Recent work was
published in Medical Image Analysis (see: Baur et al, "Segmentation of
interwoven 3d tubular tree structures utilizing shape priors and graph
cuts", Medical Image Analysis 14 (2010) 172–184)

There is also existing software tools like Hepa-Vision from Mevis that
should do the work.

Good luck,
Moti

On Mon, Jun 21, 2010 at 2:05 AM, Xiaopeng Yang <yxp233 at postech.ac.kr> wrote:
> Dear ITK users,
>
> I tried to apply region growing algorithm (connected threshold) to extract
> portal vein, hepatic vein, and artery in liver from CT image. However, since
> the intensity values of those three vessels are similar to each other, the
> connected threshold algorithm cannot separately extract those three vessels,
> furthermore, other organs are also extracted.
>
> Does anyone of you have good ideas about this problem? Are there other
> better segmentation algorithms to extract the three vessels separately?
>
> Thank you for your help!
>
> Best,
> Xiaopeng
>
>
>
>
>
> _____________________________________
> Powered by www.kitware.com
>
> Visit other Kitware open-source projects at
> http://www.kitware.com/opensource/opensource.html
>
> Kitware offers ITK Training Courses, for more information visit:
> http://www.kitware.com/products/protraining.html
>
> Please keep messages on-topic and check the ITK FAQ at:
> http://www.itk.org/Wiki/ITK_FAQ
>
> Follow this link to subscribe/unsubscribe:
> http://www.itk.org/mailman/listinfo/insight-users
>

-- 
__
Moti Freiman, Ph.D Student.
Medical Image Processing and Computer-Assisted Surgery Laboratory.
School of Computer Science and Engineering.
The Hebrew University of Jerusalem Givat Ram, Jerusalem 91904, Israel
Phone: +(972)-2-658-5371 (laboratory)
WWW site: http://www.cs.huji.ac.il/~freiman