Abstract #0329

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

Phillip G. D. Ward^1,2, Parnesh Raniga¹, Nicholas J. Ferris^1,3, David G. Barnes^2,4, David L. Dowe², Elsdon Storey⁵, Robyn L. Woods⁶, and Gary F. Egan^1,7

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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