This software provides input/output libraries to read and write data files in the nifti-1 format.
Niftilib is a powerful software that consists of efficient i/o libraries specialized in reading and writing files in the nifti-1 data format, a binary file format perfect for medical image data storage such as magnetic resonance image (MRI) and functional MRI (fMRI) brain images.
It is a comprehensive solution with libraries available in C, Java, MATLAB, and Python languages, and the developers plan to expand this further by incorporating some MATLAB/mex interfaces to the C library soon.
Niftilib is a brainchild of the NIFTI DFWG members and volunteers in the neuroimaging community, serving as a reference implementation of the nifti-1 file format. The code of Niftilib is made available to the public domain, and developers are welcome to integrate it with their applications, and even contribute new changes and enhancements to it.
In essence, Niftilib provides a complete set of libraries to efficiently read and write nifti-1 data format files, making it a valuable addition to the arsenal of any developer working with medical image data. With its constantly improving features and community contributions, it is an asset that is undoubtedly worth checking out for any neuroimaging enthusiast.
It is a comprehensive solution with libraries available in C, Java, MATLAB, and Python languages, and the developers plan to expand this further by incorporating some MATLAB/mex interfaces to the C library soon.
Niftilib is a brainchild of the NIFTI DFWG members and volunteers in the neuroimaging community, serving as a reference implementation of the nifti-1 file format. The code of Niftilib is made available to the public domain, and developers are welcome to integrate it with their applications, and even contribute new changes and enhancements to it.
In essence, Niftilib provides a complete set of libraries to efficiently read and write nifti-1 data format files, making it a valuable addition to the arsenal of any developer working with medical image data. With its constantly improving features and community contributions, it is an asset that is undoubtedly worth checking out for any neuroimaging enthusiast.
What's New
Version 0.20090303.1: N/A