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Abstract #0329

Venous metrics in a large cohort of healthy elderly individuals from susceptibility-weighted images and quantitative susceptibility maps

Phillip G. D. Ward1,2, Parnesh Raniga1, Nicholas J. Ferris1,3, David G. Barnes2,4, David L. Dowe2, Elsdon Storey5, Robyn L. Woods6, and Gary F. Egan1,7

1Monash Biomedical Imaging, Monash University, Clayton, Australia, 2Faculty of Information Technology, Monash University, Clayton, Australia, 3Monash Imaging, Monash Health, Clayton, Australia, 4Monash eResearch Centre, Monash University, Clayton, Australia, 5Department of Neurology, Monash University, Clayton, Australia, 6Department of Epidemiology & Preventative Medicine, Monash University, Melbourne, Australia, 7ARC Centre of Excellence for Integrative Brain Function, Melbourne, Australia

In this study we examine venous characteristics of elderly individuals in a large healthy population. Venograms were generated from susceptibility-weighted images and quantitative susceptibility maps using state-of-the-art automated venography. Venous density and oxygen extraction fraction were calculated in different brain regions. The pattern of metabolic demand (oxygen extraction fraction) is found to be consistent with rest and passive observation. Additionally, our results suggest that venous density may be a potential biomarker.

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