<div>Hey Martin</div>
<div>Thank you for your input.</div>
<div>I have been looking at FAST and it looks good. The only problem is that this program only makes BIAS-correction for a single image which is also good.</div>
<div>But i have a series of image where i want the intensities to correspond across images, so</div>
<div>that graymatter in image 1 has more or less same probability distribution as in image 2 and 3 and 4 etc. And the same with WM and CSF etc.</div>
<div> </div>
<div>Do you see what i mean?</div>
<div>Thank you<br><br> </div>
<div><span class="gmail_quote">2007/3/20, Martin Kavec <<a href="mailto:kavec@messi.uku.fi">kavec@messi.uku.fi</a>>:</span>
<blockquote class="gmail_quote" style="PADDING-LEFT: 1ex; MARGIN: 0px 0px 0px 0.8ex; BORDER-LEFT: #ccc 1px solid">Hi,<br><br>I suppose you just was to correct the images and not to play around with<br>different bias-field correction methods. For this, try FAST (never
<br>failed me), which is a part of freely available FSL. Just go to<br><br><a href="http://www.fmrib.ox.ac.uk/fsl/fast/index.html">http://www.fmrib.ox.ac.uk/fsl/fast/index.html</a><br><br>Hope this helps.<br>Martin<br><br>
On Tue, 20 Mar 2007, Arne Hansen wrote:<br><br>> Hello. I have 13 MR-images which have been individually bias-corrected using<br>> a program called N3(Sled, Zijdenbos, & Evans, 1998)<br>><br>> The problem is that the intensities vary across the images, which is very
<br>> unfortunate, because i am making a segmentation based on intensity<br>> distributions.<br>> So I need to correct the images, so that they have same intensity for<br>> graymatter, same for whitematter, csf etc.
<br>> I have tried just to add a factor to each image found by<br>> factor=mean(allimages)-mean(currentimage)<br>><br>> This did not have the wanted effect however. Are there better ways of doing<br>> this?
<br>> Thank you very much.<br>> Regards...<br>><br></blockquote></div><br>