Has nobody had experience with these kind of problems before?<br><br>-Regards<br><br><div><span class="gmail_quote">2007/5/8, Arne Hansen <<a href="mailto:bsd.diverse@gmail.com">bsd.diverse@gmail.com</a>>:</span><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
Hello.<br>I have a set of 20 MRI images. I am developing a segmentation method which is based on intensity distributions off subsamples of all the images. The problem is that the intensity distribution varies across the images, so I need to somehow process it so that it becomes standard. I have thought about just substracting the mean and divide with the standard deviation for each image to get standardized data, but I cannot see if this will affect the probability distribution.
<br><br>So my question is, how are images normally preprocessed in order to have corresponding intensities across all images, so that an intensity based algorithm can work on all the images?<br><br>I hope you know what I mean, otherwise I will gladly try to explain it again.
<br><br>Looking forward to hear from you. <br><br>Best of regards<br>
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