We have successfully processed infant brain images from multiple sites with various protocols and scanners. Here are feedback from them:
“The preliminary version of the tools has helped us process 30+ infant subjects at 6 months of age. I am impressed with the outstanding performance of the tools.”
"We are very impressed with the results.Thank you so much for making this available!"
"We went through these images and were very impressed by the results! Thank you!"
Tokyo Metropolitan University:
"The result ofiBeatCloudsegmentation looks great."
Arkansas Children’s Research Institute:
“I am very impressed by the segmentation results achieved by your algorithms.”
New York State Psychiatric Institute:
“We found outiBEATperforms better than other tools in neonatal segmentation.”
The University of Tokyo:
“Your computational tools proved very useful in analyzing MRI data in order to build our brain models.”
South China Normal University:
“We really appreciate yourendeavourto provide such kind of free service! We are happy to find the results of tissue segmentation of 6-month old infants quite good!”
is a toolbox for processing infant brain MR images, using multimodality (including T1w and T2w) or
single-modality. Main functions
of the software (step by step) 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. iBEAT was first developed in 2012, now re-developed with more advanced techniques.