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iBEAT V2.0: Infant Brain Extraction and Analysis Toolbox

1.  First, you have to register as a new user, or log into the system if you have already registered.

2.  Second, upload your compressed anonymized T1w/T2w brain MRI data in NIFTI format. Only Zip compression format is accepted. Most of MRI scanners produce DICOM data so a conversion to NIFTI format is required. There are many software packages that can do the job, but we recommend dcm2nii (part of MRICRON software), which is a free and reliable tool. 


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.

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





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




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

  Once your data is uploaded, iBEAT Cloud will process your request as soon as possible and generate a report containing the results.

4.  Finally, you will receive an e-mail informing about your request completion. The report will be included as an attachment, and you will be able to download a package including image files generated during the process. 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 pediatric brain MR images, using multimodality (including T1w and T2w) or single-modality. The software is developed by the Developing Brain Computing Lab, and the Baby Brain Mapping Lab in the University of North Carolina at Chapel Hill.


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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