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<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>Hi JH,<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>You have to be careful if you want to move
your DTI data. There are two options to do post-processing ACPC alignment;
reorient raw DWIs or reorient after tensor calculation. The latter approach
(reorient after tensor calculation) also has two options; reorient tensor (or
vector) or reorient a rotation-invariant scalar images such as ADC, FA, and
eivenvalues.<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>Let's go over the image analysis process;<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>Raw DWI - tensor map (Dxx, Dyy, Dzz, Dxy,
Dxz, Dyz) - scalar map (FA, ADC, eigenvalues)<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>You can't simply reorient the first two
images (raw DWI and tensor) because they are "rotationally variant". <o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>For example, if you want to rotate the raw
DWIs by 10 degree to get the ACPC alignment, you have to also rotate your
b-table. If your first gradient orientation is [0, 1, 0] (y gradient) and
rotate the brain about x axis, your gradient orientation now becomes something
like [0, 0.9, 0.03].<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>If you rotate the tensor map by 10 degree,
you have to make sure that all tensor elements in each pixel also have to be
rotated.<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>In the third step (scalar map), you can do
any rotation you wants without worrying any reorientation.<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>Another question is how you define the
rotation angles to achieve ACPC. If the brain orientation is not correct both
in sagittal and axial images, you get a complex situation to get the brain
straight.<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>For reorientation, what we can offer is
the following;<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>1) Do tensor calculation and obtain the
tensor map without worrying the brain orientation.<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>2) use one of our atlases as a target of
the brain orientation. All our atlases are ACPC aligned (more precisely the
orientation of ICBM-152).<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>3) use Landmarker -> rigid rotation
option to reorient your data to the orientation of the atlas. Here you want to
reorient the tensor map you obtained in the step #1. Landmarker knows how to
reorient tensor data.<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>4) reload the re-oriented tensor map to
DtiStudio and recalculate all the images such as FA/ADC/eigenvalues/eigenvectors<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>You can skip #4 if you reorient
FA/ADC/eigenvalues (not tensor) in step #3. But in this approach, you can't get
reoriented eigenvector maps and therefore you can't do tractography after
rotation.<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>If you do manual ROI-based analysis, it is
important that your brain data are all oriented in the same way so that the
axial slices of interest (or coronal or sagittal) are oriented in a comparable
manner among subjects. If you use affine transformation (instead of rigid) in
step #3, you can also make the size of the brain the same. In this way, your
manual ROI drawing becomes even more reproducible because you can write a
protocol like, "extract axial slice #60 in the atlas coordinate and draw
ROI on the internal capsule".<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>This is not really related to your
question, but hope it'll help.<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>Susumu<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<div>
<div class=MsoNormal align=center style='text-align:center'><font size=3
face="Times New Roman"><span style='font-size:12.0pt'>
<hr size=2 width="100%" align=center tabindex=-1>
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<p class=MsoNormal><b><font size=2 face=Tahoma><span style='font-size:10.0pt;
font-family:Tahoma;font-weight:bold'>From:</span></font></b><font size=2
face=Tahoma><span style='font-size:10.0pt;font-family:Tahoma'>
mristudio-users-bounces@mristudio.org
[mailto:mristudio-users-bounces@mristudio.org] <b><span style='font-weight:
bold'>On Behalf Of </span></b>Jarnet Han<br>
<b><span style='font-weight:bold'>Sent:</span></b> Monday, October 20, 2008
7:50 PM<br>
<b><span style='font-weight:bold'>To:</span></b> mristudio-users@mristudio.org<br>
<b><span style='font-weight:bold'>Subject:</span></b> [Mristudio-users] ACPC
alignment</span></font><o:p></o:p></p>
</div>
<p class=MsoNormal><font size=3 face="Times New Roman"><span style='font-size:
12.0pt'><o:p> </o:p></span></font></p>
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<div>
<p class=MsoNormal><font size=3 face="Times New Roman"><span style='font-size:
12.0pt'>Hi everyone,<o:p></o:p></span></font></p>
</div>
<div>
<p class=MsoNormal><font size=3 face="Times New Roman"><span style='font-size:
12.0pt'> <o:p></o:p></span></font></p>
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<div>
<p class=MsoNormal><font size=3 face="Times New Roman"><span style='font-size:
12.0pt'>I was just wondering about the easiest way to do ACPC alignment before
loading up the files into DTI studio (or does DTI studio have a built-in way to
do this?). Currently, we are using the protocol from Mori's paper which
appears to be based on ACPC aligned brains. Thanks in advance.<o:p></o:p></span></font></p>
</div>
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<p class=MsoNormal><font size=3 face="Times New Roman"><span style='font-size:
12.0pt'> <o:p></o:p></span></font></p>
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<p class=MsoNormal><font size=3 face="Times New Roman"><span style='font-size:
12.0pt'>Best,<br>
JH<o:p></o:p></span></font></p>
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