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Abstract #0634

T1 and T2 Weighted Image Segmentation from 1.0T Neonatal MRI

Andrew Melbourne1,2, Guotai Wang1,2, Michael Ebner1,2, Tom Vercauteren1,2, Debra Rosenbaum3, Yair Kasirer3, Netanel Wasertil3, Eli Ben-David3,4, and Alona Bin-Nun3,4

1King's College London, London, United Kingdom, 2Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3Shaare Zedek Medical Centre, Jerusalem, Israel, 4Faculty of Medicine, The Hebrew University, Jerusalem, Israel

In this work we present joint-image segmentation results from a novel 1.0T neonatal-specific MRI scanner. Data from machines such as this represent a new way to observe the growth and development of the preterm brain and can transfer our understanding of neurodevelopment prematurity. Advanced image analysis techniques are required to understand these developmental processes and we show preliminary results showing that good results can be obtained from these data.

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