Meeting Banner
Abstract #2034

Scanning post mortem fixed whole human brain for advanced higher order diffusion modelling using a 300 mT/m whole-body MRI scanner

Luke Joel Edwards1, Evgeniya Kirilina1,2, Carsten Jäger1,3, Kirsten Garus4, Markus Cremer4, Katrin Amunts4,5, and Nikolaus Weiskopf1,6
1Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, Berlin, Germany, 3Paul Flechsig Institute of Brain Research, Leipzig University, Leipzig, Germany, 4Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany, 5C. and O. Vogt Institute for Brain Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany, 6Felix Bloch Institute for Solid State Physics, Leipzig University, Leipzig, Germany

Higher order diffusion modelling (diffusional kurtosis and multi-tissue CSD) of a whole post mortem human brain with excellent tissue quality was enabled by ultra-high b values from a whole-body 3T scanner with ultra-strong gradients. This was complemented by a novel gradient nonlinearity correction scheme to interpolate signals onto diffusion shells before estimation of fibre distributions. The brain is part of the BigBrain initiative, and will undergo an extensive atlasing procedure. This dataset will thus extend the studies possible on the future BigBrain atlas, allowing investigation into diffusion microstructure imaging and tractography.

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.

Keywords