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Abstract #2412

Reducing g-factor for TGRAPPA accelerated real-time cardiac cine imaging

Sen Jia1,2, Haifeng Wang1, Xin Liu1, Hairong Zheng1, and Dong Liang1,2

1Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China, 2Medical AI Research Centre, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China

TGRAPPA acceleration alleviates the intense tradeoff between spatial and temporal resolutions for real-time cardiac cine imaging. However, it suffers from significant noise amplification due to ill-conditioned inverse reconstruction at high acceleration factors. A quadruple extended TGRAPPA reconstruction model is established to jointly utilize the additional spatial encoding capability of background phase and the high-order noise model by nonlinear kernel method. Prospective real-time cine experiments showed superior noise suppression of this non-iterative technique at 6-8X acceleration.

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