Hi Peter,<div><br></div><div>I assume you're talking about a vector plot type of display - in which case the answer is unfortunately no. I tend to look at the results by simply loading the image in MRView and switching to the RGB colormap - not as clear as a vector plot, but useful nonetheless. You can then switch to the next peak direction by advancing 3 volumes (3 hits of the right arrow). The RGB display takes the current volume as the red channel, the next volume as the green, and the next after that as the blue channel - it works for any dataset. In case you're interested, the only reason MRView displays eigenvector maps as RGB straight away is because it defaults to RGB when it opens a 4D dataset with 3 volumes - greyscale otherwise.</div>
<div><br></div><div>Cheers,</div><div><br></div><div>Donald.</div><div><br><br><div class="gmail_quote">On 16 January 2013 00:03, Peter Neher <span dir="ltr"><<a href="mailto:p.neher@dkfz-heidelberg.de" target="_blank">p.neher@dkfz-heidelberg.de</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi everyone,<br>
<br>
is it possible to visualize the output of the find_SH_peaks command?<br>
<br>
Best,<br>
Peter<br>
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