# Use a centerline model and a segmentation to extract vessels from an image set

**URL:** <https://discourse.slicer.org/t/use-a-centerline-model-and-a-segmentation-to-extract-vessels-from-an-image-set/4880>\
**Category:** Support\
**Tags:** vessels\
**Created:** [November 26, 2018, 11:19pm UTC](https://discourse.slicer.org/t/use-a-centerline-model-and-a-segmentation-to-extract-vessels-from-an-image-set/4880 "2018-11-26T23:19:18Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![kantzoul](https://avatars.discourse-cdn.com/v4/letter/k/71c47a/32.png) [@kantzoul](https://discourse.slicer.org/u/kantzoul)\
**Post date:** [November 26, 2018, 11:19pm UTC](https://discourse.slicer.org/t/use-a-centerline-model-and-a-segmentation-to-extract-vessels-from-an-image-set/4880/1 "2018-11-26T23:19:18Z")

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Hi all,

So I have been trying to extract the vessels from a partial MRA brain scan. I wanted to try using the centerline model I got from the VMTK extension and a manual segmentation I did to isolate the vessels. Using the vesselness filtering in VMTK I manages to identify the max and min voxel sizes of the vessels. However I’m guessing I would need to make a script for this, but as I am not that familiar with python, I was wondering if anybody had any ideas or suggestions as to how to go about this?

Kind regards,

Kyprianos