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<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><A name=OLE_LINK10></A><A
name=OLE_LINK9><SPAN style="mso-bookmark: OLE_LINK10"><SPAN lang=EN-US><FONT
face=Calibri>Dear all,<?xml:namespace prefix = "o" ns =
"urn:schemas-microsoft-com:office:office"
/><o:p></o:p></FONT></SPAN></SPAN></A></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN
style="mso-bookmark: OLE_LINK9"><SPAN style="mso-bookmark: OLE_LINK10"><SPAN
lang=EN-US><o:p><FONT face=Calibri> </FONT></o:p></SPAN></SPAN></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN
style="mso-bookmark: OLE_LINK9"><SPAN style="mso-bookmark: OLE_LINK10"><SPAN
lang=EN-US><FONT face=Calibri>I have another question how to normalize tensor
image into the MNI space (e.g., nifty_dt.nii.gz, which is mentioned in the
</FONT></SPAN></SPAN></SPAN><A
href="http://camino.cs.ucl.ac.uk/index.php?n=Tutorials.DTI"><FONT
color=#0000ff><FONT face=Calibri><SPAN style="mso-bookmark: OLE_LINK9"><SPAN
style="mso-bookmark: OLE_LINK10"><SPAN
lang=EN-US>http://camino.cs.ucl.ac.uk/index.php?n=Tutorials.DTI</SPAN></SPAN></SPAN><SPAN
style="mso-bookmark: OLE_LINK9"><SPAN
style="mso-bookmark: OLE_LINK10"></SPAN></SPAN></FONT></FONT></A><SPAN
style="mso-bookmark: OLE_LINK9"><SPAN style="mso-bookmark: OLE_LINK10"><SPAN
lang=EN-US><FONT face=Calibri> , and this file includes 6 volumes). I think the
solution steps are similar with spatial normalization using flirt with diffusion
tensor reorientation which is presented in the </FONT></SPAN></SPAN></SPAN><A
href="http://camino.cs.ucl.ac.uk/index.php?n=Tutorials.DTIWarping#toc4"><FONT
color=#0000ff><FONT face=Calibri><SPAN style="mso-bookmark: OLE_LINK9"><SPAN
style="mso-bookmark: OLE_LINK10"><SPAN
lang=EN-US>http://camino.cs.ucl.ac.uk/index.php?n=Tutorials.DTIWarping#toc4</SPAN></SPAN></SPAN><SPAN
style="mso-bookmark: OLE_LINK9"><SPAN
style="mso-bookmark: OLE_LINK10"></SPAN></SPAN></FONT></FONT></A><SPAN
style="mso-bookmark: OLE_LINK9"><SPAN style="mso-bookmark: OLE_LINK10"><SPAN
lang=EN-US><FONT face=Calibri> . Only replace Control3’s fa image data with the
MNI normalized fa data (If I want to normalize Control1’s tensor data into MNI
space), then I can complete this MNI normalized process. I am not sure whether
is that OK? Would you like to give some suggestions for this question? Thank you
so much!<o:p></o:p></FONT></SPAN></SPAN></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN
style="mso-bookmark: OLE_LINK9"><SPAN style="mso-bookmark: OLE_LINK10"><SPAN
lang=EN-US><o:p><FONT face=Calibri> </FONT></o:p></SPAN></SPAN></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN
style="mso-bookmark: OLE_LINK9"><SPAN style="mso-bookmark: OLE_LINK10"><SPAN
lang=EN-US><FONT face=Calibri>Best
regards,<o:p></o:p></FONT></SPAN></SPAN></SPAN></P>
<P class=MsoNormal style="MARGIN: 0cm 0cm 0pt"><SPAN
style="mso-bookmark: OLE_LINK9"><SPAN style="mso-bookmark: OLE_LINK10"><SPAN
lang=EN-US><FONT
face=Calibri>Jiaolong</FONT></SPAN></SPAN></SPAN></P></DIV></STATIONERY></BODY></HTML>