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Abstract #4263

QSM and R2* texture analysis in the aging brain

Arturo Cardenas-Blanco1,2, Matthew J Betts1, Peter J Nestor1, Emrah Düzel1,2, and Julio Acosta-Cabronero1

1DZNE, Magdeburg, Germany, 2Institute of cognitive neurology and dementia research (IKND), Magdeburg, Germany

To date, several studies have shown the value of quantitative susceptibility mapping (QSM) and R2* to detect aging-associated neurobiological mechanisms often based on single parametric features, either mean or median values, to characterise QSM/R2* behaviours in regions of interest (ROIs). In this study we propose the use of Haralick texture features to probe regional distribution characteristics of voxel intensities in R2*/QSM images. The results demonstrate that Haralick texture features add value to study the aging brain since they increase significantly the accuracy in subcortical R2*/QSM differentiation between elderly and young subjects.

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