[Insight-users] Continuous Index

[Xiang Hao]

Great, Luis. Thank you again. I appreciate it very much.

Cheers,
Xiang

On Tue, Jun 30, 2009 at 11:30 AM, Luis Ibanez <luis.ibanez at kitware.com>wrote:

>
> Hi Xiang,
>
> If you need to evaluat the image at ContinousIndex positions,
> or at Point positions you will need to use an Interpolator.
>
> Something like
>
>    interpolator->SetImage( image );
>    interpolator->Evaluate( point );
>    interpolator->Evaluate( continuousIndex );
>
> For a list of ITK Interpolators, please look at:
>
> http://public.kitware.com/Insight/Doxygen/html/group__ImageInterpolators.html
>
>
> Note however, that, depending on how you track
> fibers, what you may actually need is to compute
> features at those points (or continuous indices)
> and therefore you may have to use ImageFunctions
> there.
>
> For example:
>
> itkGaussianBlurImageFunction.h
> itkGaussianDerivativeImageFunction.h
>
>
>
>        Regards,
>
>
>                 Luis
>
>
>
> ----------------------------------------------------------------------
>
> On Tue, Jun 30, 2009 at 1:22 PM, Xiang Hao <haoxiang at yahoo.cn> wrote:
>
>> Hi Luis,
>>
>> Thank you so much, Luis. I will try it, and BTW, as I remember, there is a
>> problem about setPixel() and getPixel() method while I am using the
>> ContinuousIndex. It said it cannot find the corresponding method. Anyway, I
>> will try your method and try to make it work.
>>
>> Thank you again,
>> Xiang
>>
>>
>> On Tue, Jun 30, 2009 at 10:29 AM, Luis Ibanez <luis.ibanez at kitware.com>wrote:
>>
>>>
>>>
>>> Hi Xian,
>>>
>>> If you need sub-pixel locations for the points of the fibers,
>>> yes, it makes sense to use ContinuousIndex instead of
>>> Indexes for representing the location of fibers centers.
>>>
>>> That said, it may be preferable to use itk::Point<> since
>>> that will take into account also the pixel spacing, image
>>> origin, and image orientation, and you will be able to
>>> do things like overlapping a visualization of the fibers
>>> with the original image.
>>>
>>> A) If you need to convert Index to ContinousIndex you
>>>      can use the method:
>>>
>>>     Constructor
>>>
>>>      IndexType  index;
>>>      ContinuousIndexType  cindex( index );
>>>
>>> B) In order to convert Continuous index to Index you
>>>      can use the method CopyWithRound()
>>>
>>>     index.CopyWithRound( continousIndex )
>>>
>>> C) In order to convert an index into a physical point
>>>      and back you can use the image methods
>>>
>>>       TransformIndexToPhysicalPoint( index, point );
>>>       TransformPhysicalPointToIndex(point, index );
>>>
>>>
>>>
>>>   Regards,
>>>
>>>
>>>
>>>         Luis
>>>
>>>
>>>
>>>
>>> ----------------------------------------------------------------------------------------------
>>> On Sun, Jun 28, 2009 at 2:42 PM, Xiang Hao <haoxiang at yahoo.cn> wrote:
>>>
>>>> Hi,
>>>>
>>>> I am trying to write a tractography program.
>>>> Now I use discrete index:
>>>>
>>>> Dimension =3;
>>>> typedef int OutputPixelType;
>>>> typedef itk::Image< OutputPixelType, Dimension > OutputImageType;
>>>> OutputImageType::IndexType pixelIndex;
>>>>
>>>> So now the pixelIndex is discrete index and I want to change it to
>>>> continuous index. I know there is an ContinuousIndex class in ITK. I wonder
>>>> whether I should use this class and how to use it in order to change the
>>>> index to continuous index.
>>>>
>>>>
>>>> --
>>>> Cheers,
>>>> Xiang
>>>>
>>>>
>>>> --
>>>> Cheers,
>>>> Xiang
>>>>
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>>>
>>
>>
>> --
>> Cheers,
>> Xiang
>>
>
>


-- 
Cheers,
Xiang
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