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 Martins^2,3, Filip Szczepankiewicz^3,4, 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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