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Fetal Brain Development: Cortical regional and graph-based pattern analysis

Based on our fetal cortical parcellation and labeling and regional analysis techinques, we perform sulcus- and vertex-wise cortical analysis. We also examine sulcal pit and pattern development using our sulcal graph matching and comparison technique. We used a statistical approach to quantitatively...

Fetal Brain MRI Pipeline

The purpose of this project is to develop fully automatic pipeline for fetal brain MRI processing including automatic brain segmentation; fetal MRI quality assessment; motion correction; fetal brain tissue segmentation ( Hong et al., Frontiers in Neuroscience, 2020); cortical surface extraction; and...

Sulcal Pits and Patterns

Spatial distribution and specific geometric and topological patterning of early sulcal folds have been hypothesized to be under stronger genetic control and are more associated with optimal organization of cortical functional areas and their white matter connections, compared to later developing...

Im Laboratory

Provide unique and biologically relevant imaging biomarkers that not only help us to better understand normal and abnormal brain development, but also aid in the detection and diagnosis of disease.

Kiho Im (Principal Investigator)

Dr. Kiho Im is an Associate Professor of Pediatrics at Harvard Medical School, and a Staff Scientist in the Division of Newborn Medicine, FNNDSC at Boston Children’s Hospital. Dr. Im received his PhD in Biomedical Engineering from Hanyang University, South Korea in 2009. He has expertise in...