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iBEAT V2.0: Infant Brain Extraction and Analysis Toolbox


Due to large amount of submissions, our server is overburden. The total number of cases each user's lab can submit is now limited to 5 subjects in order to share our limited computational resources between all users. To process large amount of data, please contact li_wang@med.unc.edu and gang_li@med.unc.edu. We are looking for collaboration.

You must upload an anonymized and compressed zip file.

We recommend to submit both T1w and T2w, for a better tissue segmentation.

  1. In the zip file, subjects with both T1w and T2w should be named as, subject-*-T1w.nii and subject-*-T2w.nii , where * has to be a number, e.g.,



2. For cases with one single modality (e.g., T1w), they should be named as:


3. To save our computational cost, please make sure there are no duplicate subjects in your current submission and also previous submissions. 

If you have not received any results within 1 week, please kindly let us know. Sorry that there might be some delay due to submission peaks recently.

iBEAT V2.0 is a toolbox for processing infant brain MR images, using multimodality (including T1w and T2w) or single-modality. The software is developed by the IDEA group at the University of North Carolina at Chapel Hill. iBEAT was first developed in 2012, now re-developed with more advanced techniques. 


Dr. Dinggang Shen: dinggang_shen@med.unc.edu
Dr. Li Wang: li_wang@med.unc.edu
Dr. Gang Li: 
130 Mason Farm Road
Chapel Hill, NC 27599
United States

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