News: iBEAT V2.0 (Infant Brain Extraction and Analysis Toolbox) is now available online (, which is re-developed with latest techniques. Users can process any age of pediatric images via uploading images into iBEAT cloud. Current main functionality includes skull stripping, tissue segmentation, surface reconstruction, surface measurement, and surface parcellation.

Main functions of iBEAT V1.0 include image preprocessing, brain extraction, tissue segmentation and brain labeling. The software is developed by the IDEA group at the University of North Carolina at Chapel Hill, directed by Dr. Dinggang Shen (

Linux operating system (64 bit) is required. A workstation or server with memory > 8G is recommended. The graphical user interfaces of the software are implemented in MATLAB. The image processing functions are implemented with the combination of C/C++, MATLAB, Perl and Shell languages. Parallelization technologies are used to speed up.

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