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Abstract #1164

Resolving fold-over artefacts for Reduced Field-of-View Parallel Imaging with Cartesian Sampling

Sen Jia1, Zhilang Qiu1,2, Lei Zhang1, Haifeng Wang1, Xin Liu1, Hairong Zheng1, and Dong Liang1
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China

Equipping the existing parallel imaging methods such as ESPIRiT and SPIRiT with a full field-of-view (FOV) calibration could resolve the fold-over artefacts induced by reducing the imaging FOV to be smaller than the object size. Full-FOV images could be reconstructed by accurately resolving the aliased components in image space, or by reconstructing the kspace at a finer sampling interval corresponding to full-FOV. Both approaches requires a separate full-FOV calibration data which could be acquired efficiently. Reduced FOV Parallel imaging methods with full-FOV calibration may provide an alternative approach to treat the common FOV aliasing problem in practice.

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