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Abstract #0766

Multi-TE SANDI: Quantifying compartmental T2 relaxation times in the grey matter

Ting Gong1, Chantal MW Tax2,3, Matteo Mancini4, Derek K Jones4, Hui Zhang1, and Marco Palombo4,5
1Centre for Medical Image Computing & Department of Computer Science, University College London, London, United Kingdom, 2Cardiff University Brain Research Imaging Centre, School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom, 3University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands, 4Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom, 5School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom

Synopsis

Keywords: Signal Modeling, Diffusion/other diffusion imaging techniquesThis study models the echo time (TE) dependence of the apparent soma and neurite signal fractions derived from the soma and neurite density imaging (SANDI) and quantifies the apparent compartmental T2 relaxation times in the grey matter (GM). The SANDI model divides the intra-cellular space into intra-neurite and intra-soma compartments to account for contribution of water diffusion in cell bodies. By collecting multi-TE SANDI datasets, we provide the first ever estimates of apparent intra-neurite and intra-soma T2 relaxation times in the human brain and characterise their distribution in cortical and subcortical GM regions.

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Keywords