[Insight-users] Curious Problem On Fast Marching Segmentation
Fan Yang
stoneyang0915 at gmail.com
Thu Aug 4 05:02:42 EDT 2011
Dear all,
I am recently perform a vessel segmentation on a series of CT images by the
example code of itkFastMarchingImageFilter.
And there is a curious problem. Below is the original CT images and I want
to segment the abdominal aorta(AA) from this image.
[image: 1.2.840.113704.1.111.976.1298943214.4165-Frame1.jpg]
When I run the itkFastMarchingImageFilter demo on it, the result seems good.
[image: 1.2.840.113704.1.111.976.1298943214.4165_fm17-Frame1.jpg]
The main parameters specified in this demo are:
- itkCurvatureAnisotropicDiffusionImageFilter
numberOfIterations = 5;
timeStep = 0.125;
conductanceParameter = 0.1;
- itkGradientMagnitudeRecursiveGaussianImageFilter
sigma = 0.98;
- itkSigmoidImageFilter
outputMinimum = 0;
outputMaximum = 1;
alpha = 0.5;
beta = 21.5;
- itkFastMarchingImageFilter
stoppingTime = 30;
- itkBinaryThresholdImageFilter
lowerThreshold = 0;
upperThreshold = 35;
outsideValue = 0;
insideValue = 255;
The trial point are located at some point on the edge of the AA wall.
Then I modified this demo to enable 3D reconstruction segmentation result of
the whole CT dataset using vtkContourFilter and I got a poor result: there
are pieces of snowflake-like object locating at the whole render window that
I can't tell where is the segmented AA.
Anyone can explain this or can give me some advice?
Thanks in advance.
Regards,
Fan
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