[ITK-users] speed function for itkSpeedToPathFilter

[Matt McCormick]

Hi Prashanth,

Classes within TubeTK [1] specialize in creating input images that
would work well as an input to the itk::SpeedToPathFilter.

Hope this helps,
Matt

[1] https://github.com/KitwareMedical/TubeTK

On Sun, Aug 23, 2015 at 5:49 AM, Dan Mueller <dan.muel at gmail.com> wrote:
> Hi Prashanth,
>
> Essentially you want your speed function to be white (1.0) in the
> vessels and black (0.0) outside of the vessels — any way you can
> achieve this is fine. The method you have outline is very general, and
> the issue is step (1) i.e. finding an approximate centreline. Some
> have suggested achieving this by applying multiscale Hessian line
> filtering (aka vessel enhancement filtering) such as Sato/Frangi
> method — while this can achieve good results, personally I find this
> method very slow. In my own work, I have found morphological top-hat
> by opening (aka white top-hat or WTH) produces good results at a
> fraction of the computation expense, especially using the box
> structuring element with acceleration (e.g. see [1]).
>
> Good luck.
>
> Cheers, Dan
>
> [1] “Direct volume illustration for cardiac applications,” chapter 4,
> page 83–109, http://eprints.qut.edu.au/17028/1/Daniel_Mueller_Thesis.pdf
>
> On 22 August 2015 at 06:52, Prashanth <prashanth.dumpuri at gmail.com> wrote:
>> All,
>>
>> I'm working on finding the shortest path between two points in a vessel
>> tree. itkSpeedToPathFilter seems to be working well for me as long as I
>> select the right speed function. Digging through Insight Journal, I found a
>> link to Deschamp's Ph.D. thesis
>> (https://tel.archives-ouvertes.fr/file/index/docid/45537/filename/index.html)
>> which outlines one method to select a speed function:
>>
>> 1. Approximate centerline based on the input image
>> 2. Segmentation using the approximate centerline
>> 3. Use the segmented image and approximate centerline to create an image
>> with signed distances to the approximate centerline
>> 4. Use the above image as the  input speed function for itkSpeedToPathFilter
>>
>> The above steps seem to work (I say 'seem to work' because I tested it just
>> three 2D images so far), but are there other methods to select the speed
>> function? My input images are contrast enhanced CT images and the vessels
>> are easy to identify and segment. Any help on how to select the correct
>> speed function will be appreciated.
>>
>> Thanks
>> Prashanth
>>
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