Splitting 4D Nifti file into a series of 3D files in Matlab

NIfTI-1 is a data format proposed by the NifTI (Neuroimaging Informatics Technology Initiative) DFWG (Data Format Working Group) that can be used for storing neuroimaging datasets (e.g. MRI, functional MRI, etc.). This format is adapted from the widely used ANALYZE 7.5 format from Mayo Clinic. A Nifti file consists of a header part containing the meta-data and the raw image data itself. The header and the image data can be stored together in the same file with an *.nii extension or can be split into two files with an *.hdr extension for the header and an *.img extension for the image data.

For functional MRI, it is not uncommon to store the dataset in a single 4D (3D space + time) Nifti file, especially when experiments involved several hundreds of image volumes. Just imagine the convenience of working with a single file as compared to several hundreds of files. However, there are also instances when it is convenient to manipulate datasets one volume at a time. In this case, having a single volume stored in a single file is very handy.

In this post, I will outline a simple Matlab script that can be used to extract the 3D images from the 4D NifTI file. The script uses some SPM functions such as spm_select()spm_vol(), spm_read_vols(), and spm_write_vol(). Type “help function_name” in Matlab for a description of each function. Be sure that SPM is in Matla’s path before using this script. Without further ado, here is the full function list:

function abk_4Dto3D(fname)
% function abk_4Dto3D(fname)
% Splits a 4D nifti file into a series of 3D nifti files.
% Needs SPM functions to work. If input file is fdata.nii,
% the output files will have filenames like fdata_001.nii,
% fdata_002.nii, etc.

if (nargin < 1)
    [fname,sts] = spm_select;
    if (sts == 0)
        fprintf('abk_4Dto3D: Operation cancelled.n');

vol = spm_vol(fname);
img = spm_read_vols(vol);
sz = size(img);

tvol = vol(1);
tvol = rmfield(tvol,'private');
tvol.descrip = 'generated by abk_4Dto3D.m';

[dn,fn,ext] = fileparts(fname);

for ctr=1:sz(4)
    tvol.fname = sprintf('%s%s%s_%.3d%s',dn,filesep,fn,ctr,ext);
    fprintf('Writing %sn',tvol.fname);

The script accepts a filename, given by the fname input parameter, of the 4D Nifti file. If fname is not specified, the script will prompt the user to select a file using spm_select(). Once the filename is specified, it will then read the 4D image data, and save it back one 3D image at a time.

Now to the code. Line 1 is simply the usual Matlab function declaration. This is followed by several lines of comments starting with the % character (lines 2 – 7). In line 9, the script checks if the function was called with an input parameter. If none was provided, it prompts the user to make a selection (line 10). It then checks if the user cancelled the operation (lines 11 – 14) and returns if true. Otherwise, it reads the header information using SPM’s spm_vol() function (line 17), loads the 4D data into img variable (line 18) using spm_read_vols(), and gets the image dimension (line 19).

In lines 21 – 23, the header information is copied into the tvol variable (line 21), which will be used later to save the images. The private field of tvol is then removed (line 22) and the header description is changed (line 23) to indicate the new file generator. In line 25, the filename is split into three variables dn, fn, and ext correspoding to the directory location, the base filename, and the extension, respectively.

In lines 27 – 31 is where the 4D image data is actually split into a series of 3D image files. Note how the variable tvol is repeatedly used, changing only the fname field each time. This is because the 3D images have basically the same header information.

Note that the same function could also be used to extract only certain volumes from the 4D nifti files with a slight modification. To implement this, we need to change the function declaration in line 1 into:

function abk_4Dto3D(fname,idx)

where the additional parameter idx is a vector containing the volume numbers to extract. We also need to change lines 27 – 31 as follows:

for ctr=1:length(idx)
    tvol.fname = sprintf('%s%s%s_%.3d%s',dn,filesep,fn,ctr,ext);
    fprintf('Writing %sn',tvol.fname);

ctr now runs from 1 to the total number of volumes to extract given by the length of idx. The filenames will still be consecutively numbered from 1 to the length of idx (line 2). But this time, the 3D images that are saved are only the volumes specified in idx (line 4).

Have questions, leave a comment.

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