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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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