[Insight-users] Fast Marching Fine Vessel Segmentation

[Luis Ibanez]

Hi Zheying,

Fast Marching is not very well suited for segmenting
thin vessels. You can use it however for large arteries
and veins.


For that task of segmenting thin vessels you may want
to try the the Vesselness filter:

http://www.itk.org/Insight/Doxygen/html/classitk_1_1Hessian3DToVesselnessMeasureImageFilter.html


You may also want to look at the applications:

     InsightApplications/DuctExtractor
     InsightApplications/Curves3DExtractor
     InsightApplications/Curves2DExtractor


The following web page may also be useful:

    http://www.itk.org/HTML/Curve2DExtraction.htm



    Regards,


       Luis


----------------
Wu Zheying wrote:
> Hi all,
> 
> does anyone know how i can improve on my segmentation of vascular techniques? I am currently using the Fast Marching Image Segmentation algorithm from the ITK examples on my MRI Max Intensity Projection brain image. I have 5 seed positions at different parts of the vessel and i am giving it the following parameters:
> 
> sigmoid = 0.5
> alpha = 0.5
> beta = 3.5
> timethreshold = 420
> stopping value = 420
> 
> The problem is it segments well for contours that are wide apart, however for very thin vessel lines, it is almost impossible to segment it even when i have place a seed position at that location. I have noticed the gradient magnitude filter does a pretty good job of displaying the contour lines, however when it comes to the sigmoid filter, most of the fine thin contours are distorted/merged by some noise...I have tried to alter the curvature anisotropic filter as best as i can to smooth the image, still it is not good. How can i improve this? or is this the best that the Fast Marching method can do?
> 
> Hope someone can help me with this...
> 
> Zheying
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