[Insight-users] Concept for edting segmented mask images

[Xiaopeng Yang]

Hi Dawood,

 

Thanks very much for your help!

 

Could you suggest one specific edge detection filter in the ITK?

 

In my case, I need to shear and inflate the contours. Could you suggest which transformation function in the ITK is the best for these two changes? And how to apply the transformation function to shear and inflate the contours? Is it interactive?

 

And how to generate mask images after resampling?

 

Sorry for my limited knowledge on these topics. I raised many questions.

 

Best regards,

Yang

 

发件人: Dawood Masslawi [mailto:masslawi at gmail.com] 
发送时间: 2011년 3월 9일 수요일 오전 12:57
收件人: yxp233 at postech.ac.kr
抄送: insight-users at itk.org
主题: RE: Concept for edting segmented mask images

 



Hi Xiaopeng,

 

You can use one of the available edge detection filters in the ITK to extract the boundary 

 

contours. Changing the shape of the contours could be a little bit more tricky, my

 

suggestion is to adapt one of the transformation functions in the ITK based on the kind of

 

change you want to induce in the contours (e.g. scaling, shearing, inflation and etc.). 

 

Of course there are numerous other ways as well, but ultimately the best option depends

 

on the kind of change you want to make.

 

After resampling you should have no problems generating the mask images.

 

Best regards,

 

Dawood

 

 

>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>><<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<< 

 

>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>><<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<< 

 

 

Dear Users,
 
 
 
I utilized itk segmentation algorithm to extract the liver from CT images.
The results are a series of binary images (mask images). For editing the
binary images, for example deleting some part, I have an idea as follows.
 
 
 
First, generating boundary contours from binary images.
 
Second, changing the shape of the contours.
 
Finally, generating mask images from the edited contours.
 
 
 
Could you tell me whether this idea is feasible or not? If not, please give
me better ideas.
 
 
 
Thanks,
 
Yang

 

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