@@ -20,8 +20,8 @@ The JNIfTI toolbox includes a stand-alone NIfTI-1/2 parser that works on both
2020MATLAB and GNU Octave without needing additional components. To just reading and
2121writing the un-compressed NIfTI and Analyze7.5 files (.nii, .hdr/.img), one
2222only needs to run ` addpath('/path/to/jnifti') ` . For MATLAB, JNIfTI toolbox
23- utilizes memmapfile-based disk-reading, making it very fast. For Octave,
24- memmapfile is currently not implemented, so, a full reading is required.
23+ utilizes ` memmapfile ` -based disk-reading, making it very fast. For Octave,
24+ ` memmapfile ` is currently not implemented, so, a full reading is required.
2525
2626The JNIfTI toolbox is also capable of reading/writing gzip-compressed NIfTI and
2727Analyze7.5 files (.nii.gz, .hdr.gz, .img.gz). This feature is supported in MATLAB
@@ -31,11 +31,11 @@ To process gzip-compressed NIfTI/Analyze files in Octave and MATLAB with -nojvm,
3131one need to install the open-source JSONLab and ZMat toolboxes, both supporting
3232MATLAB and Octave. They can be downloaded at
3333
34- * JSONLab: http://gitlab .com/fangq/jsonlab
35- * ZMat: http://gitlab .com/fangq/zmat
34+ * JSONLab: http://github .com/fangq/jsonlab
35+ * ZMat: http://github .com/fangq/zmat
3636
3737To save NIfTI-1/2 data as JNIfTI files, one needs to install JSONLab. The JNIfTI
3838data format supports internal compression (as oppose to external compression such
39- as * .gz files). To create or read compressed JNIfTI files in Octave, one must
39+ as \ * .gz files). To create or read compressed JNIfTI files in Octave, one must
4040install the ZMat toolbox, as listed above.
4141
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