[ITK-users] FastMarching and FastMarchingBase

[Dan Mueller]

Hi Wei,

There is an Insight Journal article which shows how to extract a continuous
directed path using Fast Marching:
http://www.insight-journal.org/browse/publication/213

HTH

Cheers, Dan
On 3 Apr 2014 09:00, "Wei Liu" <weiliu620 at gmail.com> wrote:

> Arnaud,
>
> Thanks for the information. Is there a minimal example of extracting the
> shortest path given the ending point and the gradient image? One thing not
> clear to me is the gradient at each pixel points to the direction away from
> starting point. If I have ending point, how could I use the gradient to
> trace back to the starting point?
>
> Thanks very much,
> Wei
>
> p.s. that question may also due to my lack of good understanding of the
> fast marching method itself.
>
>
> On Sat, Mar 29, 2014 at 1:40 AM, Arnaud Gelas <arnaudgelas at gmail.com>wrote:
>
>> Hi Wei,
>>
>> FastMarchingBase and its derivatives offer the possibility:
>>
>> * to provide your own stopping criterion, as you mentioned, i.e. not only
>> the time of arrival for the front. See FastMarchingStoppingCriterionBase
>> and its derivatives [1]
>> * to provide some forbidden points [2], or a binary mask on which the
>> front would evolve [3]
>> * to impose for images some topological constraints by the means of
>> SetTopologyCheck [4], see [5] for details
>> * to work with images or meshes, e.g. [6]
>>
>> HTH,
>> Arnaud
>>
>> [1]
>> http://www.itk.org/Doxygen/html/classitk_1_1FastMarchingStoppingCriterionBase.html
>> [2]
>> http://www.itk.org/Doxygen/html/classitk_1_1FastMarchingBase.html#a4f20d07dd57b0e5a0016bcf98d1aeffc
>> [3]
>> https://github.com/Kitware/ITK/blob/master/Modules/Filtering/FastMarching/test/itkFastMarchingImageFilterRealTest2.cxx
>> [4]
>> http://www.itk.org/Doxygen/html/classitk_1_1FastMarchingBase.html#afcd4d899f100ec28d309026e9dc98f00
>> [5] http://www.insight-journal.org/browse/publication/778
>> [6]
>> http://itk.org/ITKExamples/src/Filtering/FastMarching/ComputeGeodesicDistanceOnMesh/Documentation.html
>>  On Friday, March 28, 2014, Wei Liu <weiliu620 at gmail.com> wrote:
>>
>>> Dear ITK users,
>>>
>>> When I look at the ITK FastMarching module I found two version of same
>>> filter. For example, I found FastMarchingImageFilter
>>> and FastMarchingImageFilterBase have similar functions, also I
>>> found FastMarchingUpwindGradientImageFilter
>>> and FastMarchingUpwindGradientImageFilterBase. I can see some functions are
>>> different (such as set stop criterion), but is there anything I need to
>>> know about when I should use which of these filters?
>>>
>>> This Git commit [1] seems to say that two implementations co-exists: "
>>> With this change both frameworks (ITKv3 and refactored one) co-exist,
>>> classes have different name to avoid conflicts." Not sure if it's
>>> related to my questions.
>>>
>>> Anyone has any thoughts about it? I appreciate your input.
>>>
>>> Wei
>>>
>>> [1]
>>> http://itk.org/gitweb?p=ITK.git;a=commit;h=6271a744582c413c7db57456c8ee0149930e5fd9
>>>
>>
>
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