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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