Abstract #1401

Adaptive Tissue Cluster Tracking on Quantitative MRI for Fully Automatic Brain Segmentation on Young Children

Marcel Warntjes^1,2, Suraj Serai³, James Leach³, and Blaise Jones³

¹Center for Medical Imaging Science and Visualization, Linköping, Sweden, ²SyntheticMR AB, Linköping, Sweden, ³Department of radiology, Cincinnati, OH, United States

Brain tissue properties change rapidly during the first few years of life. This poses a problem for brain segmentation algorithms since adult tissue definitions for white matter and grey matter do not apply for young children. An automatic tissue cluster tracking algorithm was developed to determine WM and GM cluster positions in a 3-dimensional search-space of quantitative R1 relaxation rate, R2 relaxation rate and proton density. These positions are then used to segment the brain, independent of age.

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.