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Abstract #1250

Joint suppression of cardiac bSSFP cine banding and flow artifacts based on twofold phase-cycling and a dual-encoder neural network

Zhuo Chen1, Juan Gao1, Haiyang Chen1, Xin Tang2, Yixin Emu1, and Chenxi Hu1
1Shanghai Jiao Tong University, Shanghai, China, 2United Imaging Healthcare Co., Ltd, Shanghai, China

Synopsis

Keywords: Artifacts, Artifacts, Cardiac function, Cine

Motivation: Cardiac bSSFP cine imaging suffers from banding and flow artifacts caused by the off-resonance. Although fourfold phase cycling suppresses the banding artifacts, it invokes flow artifacts and prolongs the scan.

Goal(s): To develop a twofold phase-cycling sequence with a neural-network-based reconstruction for a fast and joint suppression of banding and flow artifacts in cardiac cine imaging.

Approach: We compared the method with standard bSSFP and regular phase cycling in the left ventricle and atrium in 10 healthy subjects.

Results: Needing only 10 heartbeats, the proposed method robustly suppressed both artifacts in the presence of anatomical variations.

Impact: Banding and flow artifacts are common in bSSFP cine imaging, especially with cardiac devices or high-field MR. The proposed method provides a robust and practical tool for suppression of them and improves the reliability of cine MRI.

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