[Insight-users] help understanding threshold level set segmentation

[Prashanth]

All,
   I'm using ThresholdSegmentationLevelSetImageFilter for a 2D application.
It works really well for me and is automated for the most part. I would
really appreciate it if someone can help me understand the filter better by
answering the following questions:

(i) I'm using the output from ConfidenceConnectedImageFilter as the initial
level set for the threshold level set filter. I used a replacement value of
255 for the connected confidence filter. In other words, the input image to
the threshold level set filter is a binary image with 255 representing the
region of interest (and 0 outside of it). I therefore expect the iso-surface
value for the threshold level set filter to be set to 255. However any value
other than 0 did not work. What 'am I missing here?

(ii) I did not set the upper and lower threshold values for the threshold
level set filter and it still works. How?

(iii) Since I'm using a threshold level set filter with confidence connected
image as the input should I still use a zero crossing image filter to get
the output?

(iv) I see from the documentation that I can get a speed image for the
threshold level set filter. What's a speed image?

(v) Can someone please point me to a paper/article that describes in detail
the effect of the different constants in Equation 9.3 from the ITK Software
Guide? (I want to learn more about the effect of the advection, propagation
and spatial modifier terms).

Thanks
Prashanth
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