<div dir="ltr">Hey Jian,<div><br></div><div>This is fantastic update!! Really really thank you for making such great software. I will definitely try it out.</div><div><br></div><div>I know I always seem to be asking help from you but I was wondering on the two aspects below:</div><div><br></div><div>1) I was not able to dig too deep into peak finding myself because of my lack familiarity. I was wondering if you are planning to release that part so we can try tractography with your diffusion models.</div><div>2) Are you working on spatial normalization ideas for your diffusion models? What are your thoughts on how to perform this with your models. Should we just transform the DWI data and fit the models in the normalized space by adjusting the bvectors? Or do you think transforming your models by preserving orientations would be good?</div><div><br></div><div>Thanks so much and it is so great to have you as a friend!</div><div>Sincerely,</div><div>Nagesh</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Oct 13, 2015 at 11:45 AM, Jian Cheng <span dir="ltr"><<a href="mailto:jian.cheng.1983@gmail.com" target="_blank">jian.cheng.1983@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi Nagesh,<br>
<br>
Last time we discussed visualization of scalar maps using paraview.<br>
Instead of paraview, you may try VTKPolyData.py.<br>
<a href="https://diffusionmritool.github.io/commands/VTKPolyData.py.html" rel="noreferrer" target="_blank">https://diffusionmritool.github.io/commands/VTKPolyData.py.html</a><br>
I recently added and modified it to visualize the vtk file with a scalar<br>
map, and used it to generate tutorial outputs.<br>
<br>
best,<br>
Jian Cheng<br>
</blockquote></div><br></div>