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Look at the scl_slope and scl_intercept in the NIfTI headers, which should
(for these data) have values of 1 and 0.  The mnc2nii software used to
convert these images seems to have put random tiny values in them.  .

The header contents are below:

        sizeof_hdr: 348
         data_type: '          '
           db_name: '                  '
           extents: 0
     session_error: 0
           regular: 'r'
          dim_info: 0
               dim: [3 197 233 189 0 0 0 0]
         intent_p1: 0
         intent_p2: 0
         intent_p3: 0
       intent_code: 0
          datatype: 16
            bitpix: 32
       slice_start: 0
            pixdim: [0 1 1 1 0 1 0 0]
        vox_offset: 348
         scl_slope: 1.5259e-05
         scl_inter: -2.7413e-18
         slice_end: 0
        slice_code: 0
        xyzt_units: 10
           cal_max: 0
           cal_min: 0
    slice_duration: 0
           toffset: 0
             glmax: 0
             glmin: 0
           descrip: 'mnc2nii nihpd_sym_04.5-08.5_gm.mnc
nihpd_sym_04.5-08.5_gm.nii                   '
          aux_file: '                        '
        qform_code: 0
        sform_code: 1
         quatern_b: 0
         quatern_c: 0
         quatern_d: 0
         qoffset_x: 0
         qoffset_y: 0
         qoffset_z: 0
            srow_x: [1 0 0 -98]
            srow_y: [0 1 0 -134]
            srow_z: [0 0 1 -72]
       intent_name: '                '
             magic: 'n+1 '

Best regards,
-John


On Wed, 20 Jun 2018 at 23:05, avantika mathur <[log in to unmask]> wrote:

> Dear SPM users,
>
> I am working on  fMRI data from 5-6 year old  children. I wanted to use a
> pediatric template for normalization. I downloaded the *4.5–8.5 y.o*
> (prepuberty) NIHPD template from (http://nist.mni.mcgill.ca/?p=974).
> Thereafter, I converted the files to .nii format. Visualization of nii
> files reveal perfectly ffine images (Attached is the template).​​​
>  nihpd_sym_04.5-08.5_csf.nii
> <https://drive.google.com/file/d/1VImQKu0EFWMwwyTzAYA3FHULUdFHEV5J/view?usp=drive_web>
> ​​​​
>  nihpd_sym_04.5-08.5_gm.nii
> <https://drive.google.com/file/d/1EcRkVuDAa05yUjpjNnuBvUxfzkcG8EZA/view?usp=drive_web>
> ​​​​
>  nihpd_sym_04.5-08.5_mask.nii
> <https://drive.google.com/file/d/1UUmRnL6A_tk2hu6mj-CHoA97E0m4H_ba/view?usp=drive_web>
> ​​​​
>  nihpd_sym_04.5-08.5_pdw.nii
> <https://drive.google.com/file/d/1D7HGV6MdJ-p_eM2R77aGAw6cS_F61Dh2/view?usp=drive_web>
> ​​​​
>  nihpd_sym_04.5-08.5_t1w.nii
> <https://drive.google.com/file/d/1FgB6YWYdKGBJwYaEvOQXI7xjVr1X2vWo/view?usp=drive_web>
> ​​​​
>  nihpd_sym_04.5-08.5_t2w.nii
> <https://drive.google.com/file/d/1jnBevSS_FTn1eMkPigYgqKppDfspVQfn/view?usp=drive_web>
> ​​​​
>  nihpd_sym_04.5-08.5_wm.nii
> <https://drive.google.com/file/d/1Yjkshq9wnWTGMMcLkLe0I1i0a3ttrCke/view?usp=drive_web>
> ​
>
> I am using old segment in SPM12. I enter the subject data T1 image (Data)
> and tissue probability maps from the template (grey matter, white matter
> and csf ). Once I run segment the  output files c1 (grey matter), c2 (white
> matter) and c3 (csf) are empty. The segmentation fails giving me null
> images.
>
> Does anyone know why this happens?
>
> What tissue probability maps should I use for segmentation (old segment)
> in  pediatric population? Then how do I use the output in normalization?
>
> Please let me know if anyone has faced the same issue before.
>
> Thanks
>
> --
> Avantika Mathur
>


-- 
Prof John Ashburner
Professor of Imaging Science
UCL Institute of Neurology
Queen Square
Wellcome Trust Centre for Neuroimaging
University College London
12 Queen Square, London, WC1N 3BG
E: [log in to unmask]  T: +44 (0)20 3448 4365
http://www.fil.ion.ucl.ac.uk/