FW: [MINC-users] Very large dicom variables in the header crashin g loni debabelizer.

[Valentino, Daniel]

Hi Dylan:
David Shattuck forwarded your message to me as I'm not on the minc-users
mailing list.  If you can arrange to give us some examples of the files that
you're having trouble with, then we'll figure out what is going on and help
you to resolve the problem.  
In the future, please feel free to contact me or Scott Neu directly if you
encounter any problems with the use of the LONI Debabeler. Thanks!
Sincerely,
Daniel


============================================================
| Daniel J. Valentino, Ph.D.                               |
| Associate Professor of Radiology and Bioengineering      |
| Laboratory of Neuro Imaging (LONI) and                   |
| Division of Interventional Neuro Radiology (DINR)        |
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| Mail Stop 172115                                         |
| UCLA Radiology                                           |
| Los Angeles CA 90095-1721                                |
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| 310-794-7131 (office)                                    |
| 310-206-2967 (fax)                                       |
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| dvalentino@mednet.ucla.edu     http://www.loni.ucla.edu/ |
============================================================


---------- Forwarded message ----------
From: Dylan David Wagner <dwagne@bic.mni.mcgill.ca>
Date: Jul 20, 2005 5:23 PM
Subject: [MINC-users] Very large dicom variables in the header
crashing loni debabelizer.
To: minc-users@bic.mni.mcgill.ca


Hi,

     I've been trying to use the loni debabelizer to convert some minc
files to nifti and/or analyze (couldn't find an in house converter for
nifti, do we have one?). I've been finding that certain files crash it,
other files aren't identified as MINC and a third group actually work!

      The reason why some files crash the babelizer, or aren't
identified, seems to have to do with long headers caused by some of the
dicom variables in the minc header. At least that's the only difference
I can discern.

       Older mincfiles scanned before the Siemens got an upgrade are
identified without fail. Aside from a few additional entries in the
study variable, the main differences is the dicom variables are huge and
the mincheader jumps from ~20kb to 700+ Kb.

      Newer files scanned after the upgrade work if they've been
preprocessed with the fmri preprocessing tools (which seems to eliminate
the dicom entries from the header). Oddly enough if I use cygwin to do
the preprocessing with the same minctools, the dicom entries in the
header are preserved (and loni debabelizer crashes).

      I'm guessing the fault lies with the Loni app, however does anyone
have any quick fixes to eliminate all the dicom info from the header?
I'd still like to keep the rest of the header intact.

                    Thanks,
                        DDW
_______________________________________________
MINC-users@bic.mni.mcgill.ca
http://www.bic.mni.mcgill.ca/mailman/listinfo/minc-users

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