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Abstract #3460

A Novel Yeast Cells- and Microcapillaries-Based Phantom for Validation of Diffusion MRI Models

Shir Levy1, Darya Morozov1, Inbar Seroussi2, Leah Bar2, Nir Sochen2, and Yoram Cohen1,3

1School of Chemistry, The Raymond and Baverly Sackler Faculty of Exact Science, Tel Aviv University, Tel Aviv, Israel, 2School of Mathematical Sciences, The Raymond and Beverly Sackler Faculty of Exact Science, Tel Aviv University, Tel Aviv, Israel, 3Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel

Numerous different models provide detailed microstructure information from diffusion MRI data. In order to challenge them, there is a need for complex phantoms with known structural characteristics. For this purpose, we present a novel phantom, consists of spherical fixed yeast cells and cylindrical microcapillaries. Despite of its complexity, arising from the different size, geometry and size distribution of the restricted compartments, there is a good correlation between the known ground truth and the features that were extracted from fitting single diffusion encoding (SDE) MRI experimental data, assuming continued or discrete weight of size distribution.

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