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Abstract #1101

From physical chemistry to human brain biology: unconstrained inversion of 5-dimensional diffusion-T2 correlation data

Chantal M.W. Tax1, João P. de Almeida Martins2,3, Filip Szczepankiewicz3,4, Carl-Fredrik Westin5, Maxime Chamberland1, Daniel Topgaard2, and Derek K Jones1

1CUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom, 2Physical Chemistry, Department of Chemistry, Lund University, Lund, Sweden, 3Random Walk Imaging AB, Lund, Sweden, 4Clinical sciences, Lund, Lund University, Lund, Sweden, 5Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States

Studying the diffusion MRI signal as a function of more experimental parameters allows to establish correlations between different chemical and physical properties and to disentangle different compartments. Such measurements are common in the field of physical chemistry to characterise heterogeneous media, but are rendered impractical on human scanners due to hardware limitations. Here, we leverage ultra-strong gradients to acquire a 5-dimensional in-vivo human brain correlation dataset, which allows the characterisation of microstructural features through unconstrained inversion.

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