We have successfully processed 3000+ infant brain images from multiple sites with various protocols and scanners (Table 1). Here are some 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!"
"The result of iBeat Cloud segmentation looks great."
“I am very impressed by the segmentation results achieved by your algorithms.”
“We found out iBEAT performs better than other tools in neonatal segmentation.”
“Your computational tools proved very useful in analyzing MRI data in order to build our brain models.”
“We really appreciate your endeavour to provide such kind of free service! We are happy to find the results of tissue segmentation of 6-month old infants quite good!”
"Wow! I am truly impressed! These results are remarkable: we have never seen grey/white matter segmentation this good! Even when we provided you only the T1w images these results are sufficient for our use case!"
"I have finished my analyses of the first two participants with the surfaces you provided (they look great!)"
"The segmentation looks really good!"
"The results of your new segmentation (and brain extraction) look great! I'm very impressed because we've struggled a lot with getting these images processed. iBEAT had been the software that was working the best for us, but the results you sent back are even better than what I was able to get out of the older version of iBEAT. "
"I finally got a chance to show the results of iBEAT cloud to my collaborators. They are all very impressed, and we plan to upload some more subjects to you in the near future. ...Thank you for all your hard work on this new version of iBEAT! It is very impressive."
"I am quite happy with the segmentation."
"What I've seen so far look far more accurate than the infant pipelines I tried previously."
"Thank you so much for running our brains through your segmentation pipeline. Your pipeline did a fantastic job segmenting our brains."
Table 1. Successfully processed infant brain images from multiple sites with various protocols and scanners.
About 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.