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iBEAT V2.0: Infant Brain Extraction and Analysis Toolbox

国内用户,请翻墙才能提交任务。

Due to large amount of submissions, our server is overburden. The number of cases each user's lab can submit could be limited 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.,

subject-1-T1w.nii 
subject-1-T2w.nii 
subject-2-T1w.nii 
subject-2-T2w.nii 

...

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

subject-1-T1w.nii 
subject-2-T1w.nii 
...

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 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. iBEAT was first developed in 2012, now re-developed with more advanced techniques. 

Contacts

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


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