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Dear Dorian,<br>
<br>
One effect you could be seeing is that DWI data at higher b-values
have lower signal-to-noise ratio. So this is generally why it looks
'worse', you have less signal in the image, but the diffusion
diffusion component is stronger. The lower SNR can of course make
motion artifacts worse, i.e. there is less signal to rescue when
applying motion correction.<br>
<br>
I will let someone more experienced comment on the advantages or not
of the CSD model!<br>
<br>
Ivan<br>
<br>
<div class="moz-cite-prefix">On 03/10/2013 7:41, Dorian P. wrote:<br>
</div>
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cite="mid:CAF9pfmaCGsQjbxcwomUWhwCX5j95dW3DBU9Su15uXYP=G8-E7Q@mail.gmail.com"
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<div dir="ltr">Dear list,
<div><br>
</div>
<div>I have done tractography on DTI (32 orientation, b850)
using a deterministic algorithm. After trying HARDI with
probabilistic (60 orientation, b3000), it looks like out of
the scanner images can be more affected by motion in HARDI
than regular DTI. However, when I do tractography I can still
get better results with HARDI, even in cases with motion or
with brain edema (without even correcting for motion). It
looks like the CSD algorithm combined with subvoxel seeding is
giving an advantage.</div>
<div><br>
</div>
<div>What is your opinion on this? Does HARDI/CSD tolerates
motion better in practical terms despite looking worse out of
the scanner?</div>
<div><br>
</div>
<div><br>
</div>
<div>Thank you.</div>
<div>Dorian</div>
<div>TJU</div>
<div><br>
</div>
</div>
<br>
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