[MINC-users] Classify with the high resolution data

[vikingy]

Thank you , Andrew,

In this way, if I input the high resolution data into the CIVET to measure cortical thickness, it will enhance the precision of results in theory? Am I right?

Bin Lv


2009-04-12 



The Key Lab of Complex Systems and Intelligence Science,
Institute of Automation,
Chinese Academy of Sciences. 



发件人： Andrew Janke 
发送时间： 2009-04-12  09:42:56 
收件人： MINC users mailing list 
抄送： 
主题： Re: [MINC-users] Classify with the high resolution data 
 
2009/4/11 vikingy <vikingy at gmail.com>:
> I have some high resolution data (such as 0.6x0.6x0.6) acquired from 7T scanner, and want to perform the segmentation with Classify in minc. It seems that Classify uses the 1x1x1 template. My question is that, would they have to be downsampled to 1x1x1 for use or not? Does the high resolution improve the performance of segmentation?
Hi Bin,
No they will not have to be downsampled. The high res should make the
segmentation "better" but only because there will be less partial
voluming effects with smaller voxels. Classify uses an intensity based
approach so as far as classify is concerned the number of voxesl to
classify is irrelevant.
Andrew Janke
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