Hi Doug,

That’s weird because I can’t convert it using only mri_convert, here is the 
error I get :

WARNING: file 
/Users/ismailkoubiyr/Documents/PFE/Tracula/dti/3T2/MR.1.3.12.2.1107.5.2.19.45306.2014091812330393354083931
 does not contain a Siemens ASCII header
has this file been anonymized?
ERROR: cannot unpack mosiacs without ASCII header

Any idea why ?

Best,

Ismail

On Jul 19, 2016, at 1:11 PM, Douglas N Greve 
<gr...@nmr.mgh.harvard.edu<mailto:gr...@nmr.mgh.harvard.edu>> wrote:

I was able to convert it fine with
 mri_convert MR.1.3.12.2.1107.5.2.19.45306.2014091812372179441003292
output.nii.gz
If I included -it dicom, the conversion did not have an error, but the
output had only one slice. Since these are mosaics, they need the
Siemens ascii header which is ignored with -it dicom. So ... don't use
-it dicom


On 07/19/2016 11:06 AM, Koubiyr, Ismail wrote:
Hi Doug,

It is still an issue. I uploaded the DICOMs to you. Hope it could be useful.
Thanks.

Ismail

On Jul 18, 2016, at 6:14 PM, Douglas N Greve 
<gr...@nmr.mgh.harvard.edu<mailto:gr...@nmr.mgh.harvard.edu>> wrote:

Is this still a problem? If so, can you upload the dicom files to our
file drop?

On 07/05/2016 11:24 AM, Koubiyr, Ismail wrote:
The file has not been anonymized.

Thanks,

Ismail

On Jul 5, 2016, at 11:20 AM, Douglas N Greve 
<gr...@nmr.mgh.harvard.edu<mailto:gr...@nmr.mgh.harvard.edu>> wrote:

can you answer the question that it asks?

On 07/05/2016 10:52 AM, Koubiyr, Ismail wrote:
Hi everyone,

I’m having some issues converting my DICOMs (DWI) into NIFTI using
mri_convert. I looked for other topics with people having the same
kind of problem but couldn’t find an answer.

Each time I run mri_convert on my DICOMs I get the following error :
WARNING: file MR.1.3.12.2.1107.5.2.19.45306.2014091812330393354083931
does not contain a Siemens ASCII header
has this file been anonymized?
ERROR: cannot unpack mosiacs without ASCII header

Here are the following DICOMs informations :
Identification
NumarisVer       syngo MR D13
ScannerModel     Skyra
PatientName       xxxxx
Date and time
StudyDate         20140918
StudyTime         121037.203000
SeriesTime       123450.600000
AcqTime           123257.367500
Acquisition parameters
PulseSeq         ep_b0
Protocol         AX DTI no angle MS NEX 4 2
PhEncDir         COL
EchoNo           1
FlipAngle         90
EchoTime         96
InversionTime     -1
RepetitionTime   4700
PhEncFOV         0
ReadoutFOV       0
Image information
RunNo             4
SeriesNo         5
ImageNo           1
NImageRows       990
NImageCols       990
NFrames           64
SliceArraylSize   0
IsMosaic         1
ImgPos           1075.1575 1069.8385 -48.6769
VolRes             2.1818   2.1818   2.0000
VolDim             0        0        0
Vc                 -1.0000  -0.0000   0.0000
Vr                 -0.0000  -1.0000   0.0000
Vs                 0.0000   0.0000   0.0000
VolCenter           0.0000   0.0000   0.0000
TransferSyntaxUID 1.2.840.10008.1.2.1


Then I try using mri_convert -it dicom, it converts the files but not
as it is expected, you could notice the difference when I run mri_info
on my output :
Volume information for output.nii.gz
         type: nii
   dimensions: 990 x 990 x 1 x 64
  voxel sizes: 2.1818, 2.1818, 2.0000
         type: SHORT (4)
          fov: 2160.000
          dof: 0
       xstart: -1080.0, xend: 1080.0
       ystart: -1080.0, yend: 1080.0
       zstart: -1.0, zend: 1.0
           TR: 4700.00 msec, TE: 0.00 msec, TI: 0.00 msec, flip
angle: 0.00 degrees
      nframes: 64
      PhEncDir: UNKNOWN
ras xform present
   xform info: x_r =  -1.0000, y_r =  -0.0000, z_r = -0.0000, c_r =
 -4.8425
             : x_a =  -0.0000, y_a =  -1.0000, z_a = -0.0000, c_a =
-10.1615
             : x_s =   0.0000, y_s =   0.0000, z_s = 1.0000, c_s =
-47.6769
Orientation   : LPS
Primary Slice Direction: axial

voxel to ras transform:
              -2.1818  -0.0000  -0.0000  1075.1575
              -0.0000  -2.1818  -0.0000  1069.8385
               0.0000   0.0000   2.0000   -48.6769
               0.0000   0.0000   0.0000     1.0000

voxel-to-ras determinant 9.52066

ras to voxel transform:
              -0.4583   0.0000   0.0000   492.7805
               0.0000  -0.4583   0.0000   490.3426
              -0.0000  -0.0000   0.5000    24.3384
               0.0000   0.0000   0.0000     1.0000

I would really appreciate your help, thank you.

Best,

Ismail



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--
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu<mailto:gr...@nmr.mgh.harvard.edu>
Phone Number: 617-724-2358
Fax: 617-726-7422

Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
www.nmr.mgh.harvard.edu/facility/filedrop/index.html
Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/

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--
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu<mailto:gr...@nmr.mgh.harvard.edu>
Phone Number: 617-724-2358
Fax: 617-726-7422

Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
www.nmr.mgh.harvard.edu/facility/filedrop/index.html
Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/

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