Infant Brain Segmentation

Dear Colleagues,

Accurate segmentation of MR images of the infant brain into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is of fundamental importance in studying normal and abnormal early brain development. At around 6 months of age, the intensity ranges of voxels in GM and WM in structural MR images are largely overlapping (especially around the cortical regions), thus leading to the lowest tissue contrast and creating a major challenge for tissue segmentation. Another big challenge results from the fact that different sites acquire images using different imaging protocols and scanners. Recently, we have launched iSeg-2017 and iSeg-2019 challenges to improve infant brain segmentation, addressing multiple sites. This Special Issue aims to promote automatic segmentation algorithms of infant brain MRIs, including images of preterm/term and 6-month-old infant brains. This Special Issue is open to everyone. Participants of iSeg-2017 and iSeg-2019 are highly welcome.

Dr. Li Wang
Guest Editor

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• infant brain, low contrast, deep learning, multisite issues