NIfTI (Neuroimaging Informatics Technology Initiative) is a commonly used file format for storing medical imaging data, particularly in neuroimaging (MRI, fMRI, etc.). NIfTI files typically have the extension .nii or .nii.gz (the latter is a compressed version). It’s a successor to the older Analyze 7.5 format. A NIfTI file usually contains a 3D (or 4D with time) image volume along with metadata like voxel dimensions, orientation (how the data corresponds to real-world axes), and possibly affine transforms to align data to a standard space. NIfTI supports single or multiple data volumes (e.g., an fMRI dataset can be a 4D NIfTI: 3D brain volume over time). It’s popular in brain imaging research due to tools like FSL, SPM, AFNI supporting it. In the context of machine learning, if someone is working on 3D medical imaging, they often handle NIfTI files. Libraries exist to load NIfTI (like NiBabel in Python). Data inside is typically in a binary format (e.g., 16-bit integers or 32-bit floats for intensities).
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