Improved SNAP with Mask-based Venous Flow Suppression
Haining Liu 1 , Zechen Zhou 2 , Jinnan Wang 3 , and Chun Yuan 2,4
Bioengineering Department, University of
Washington, Seattle, WA, United States,
Department, Tsinghua University, Beijing, China,
Research North America, NY, United States,
Department, University of Washington, WA, United States
SNAP can simultaneously detect lumen stenosis and
hemorrhage of atherosclerotic plaque with good contrast
and resolution. One of its limitations is its inability
to differentiate the venous flow from arterial ones.
Venous contamination like this will become a challenge
to image reviews that focus only on the pathological
characteristics of arteries. In this study, we suggest
the use of mask generated from two scans with different
venous lumen intensity to suppress the venous
contamination in regular SNAP. As shown in the in vivo
comparison, the venous flow was successfully suppressed
while the contrast of arterial lumen was maintained.
This abstract and the presentation materials are available to members only;
a login is required.