[ITK-users] Demons Registration on a Region of Interest

[Nhung Pham]

Normally with Python, I can register one template( e.g: a center region of
reference image) to the target image to find the corresponding position of
the template in the target image. In this Demon Registration algorithm, we
of course do not know the position of the template in the fixed image, so
my goal is not to register two smaller images but to find the best match of
the small region in the fixed image, or do you mean I should do
registration with small regions of fixed image iteratively? (Sorry, my
English is not so good)

Best regards,
===============================
Phạm Hồng Nhung,
ICT Department,
University of Science and Technology of Hanoi.
Mobile: +84979093732
Gmail: phnhung98 at gmail.com
Skype: phnhung98

On Sat, Oct 31, 2015 at 4:51 PM, Dženan Zukić <dzenanz at gmail.com> wrote:

> Have you tried extracting only the regions of interest using RoI
> <http://www.itk.org/Doxygen/html/classitk_1_1RegionOfInterestImageFilter.html>
> filter and registering these two smaller images? That is the usual
> workaround if some filter does not respect requested region.
>
> HTH
>
> On Thu, Oct 29, 2015 at 9:49 AM, HONG NHUNG PHAM <
> hong.nhung.pham at univ-poitiers.fr> wrote:
>
>> Hello everyone,
>>
>> I want to apply Demons Registration to register two medical images, the
>> image information is strong at the center, therefore I want to apply
>> registration method on only the center region of the images. For example,
>> take a center region of moving image, and find the corresponding positions
>> of each pixel of the region in the fixed image. However, I can not find a
>> method that allows processing on a region like that in
>> itkDemonsRegistrationFilter.h. I tried passing the full fixed image as
>> SetFixedImage, and only the center region of moving image as
>> SetMovingImage. However, it crashes because it requires same size of fixed
>> image and moving image.
>>
>> Does anyone have any idea of how to pass a region to demons registration
>> filter?
>>
>> Thank you in advance!
>>
>>
>>
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