Abstract #0634

T1 and T2 Weighted Image Segmentation from 1.0T Neonatal MRI

Andrew Melbourne^1,2, Guotai Wang^1,2, Michael Ebner^1,2, Tom Vercauteren^1,2, Debra Rosenbaum³, Yair Kasirer³, Netanel Wasertil³, Eli Ben-David^3,4, and Alona Bin-Nun^3,4

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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.