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Abstract #3760

Consistency of commonly applied vessel segmentation methods for magnetic resonance venography

Phillip G. D. Ward 1,2 , Parnesh Raniga 2 , Nicholas J. Ferris 2,3 , Amanda C. L. Ng 2,4 , David G. Barnes 1,5 , David L. Dowe 1 , Elsdon Storey 6 , Robyn L. Woods 7 , and Gary F. Egan 2,8

1 Clayton School of Information Technology, Monash University, Clayton, Victoria, Australia, 2 Monash Biomedical Imaging, Monash University, Clayton, Victoria, Australia, 3 Monash Imaging, Monash Health, Clayton, Victoria, Australia, 4 Department of Anatomy and Neuroscience, The University of Melbourne, Parkville, Victoria, Australia, 5 Monash eResearch Centre, Monash University, Victoria, Australia, 6 Department of Medicine, Monash University, Victoria, Australia, 7 Department of Epidemiology & Preventive Medicine, Monash University, Melbourne, Australia, 8 School of Psychology and Psychiatry, Monash University, Victoria, Australia

The calculation of venous vascular metrics has been made possible without a contrast agent using susceptibility based magnetic resonance imaging (MRI) techniques, such as susceptibility weighted imaging (SWI) and quantitative susceptibility mapping (QSM), and a suitable vessel-enhancing filter. Whilst multiple filters have been proposed, the sensitivity of the final measurement to the choice of filter is an unexplored relationship. This study examines the correlation between venous density and the choice of image type and filtering technique in a large cohort of healthy elderly subjects.

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