Abstract #4495
Improving flow characterization in SNAP with k-space acquisition reordering
Jinnan Wang 1 , Haining Liu 2 , Zechen Zhou 3 , Niranjan Balu 2 , Thomas S Hatsukami 2 , Jin Liu 2 , Peter Boernert 4 , and Chun Yuan 2
1
Philips Reserach North America, Seattle, WA,
United States,
2
University
of Washington, Seattle, WA, United States,
3
Tsinghua
University, Beijing, China,
4
Philips Research
Europe, Hamburg, Germany
Simultaneous Non-contrast Angiography and intraPlaque
hemorrhage (SNAP) imaging was proposed as a technique
for joint MRA and high risk atherosclerotic plaque
feature (intraplaque hemorrhage, or IPH) detection. For
carotid artery imaging, to achieve ideal MRA, an
inversion coverage of 60cm is desired but cant be
afforded by most scanners due to the bore length
limitation. As a result, flow artifacts can be
occasionally observed on the carotid SNAP MRA images. To
address this issue, a new SNAP acquisition scheme is
proposed to improve the MRA performance by optimizing
k-space acquisition ordering so that flow artifacts can
be minimized.
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