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Abstract #2874

Iterative & Joint Reconstruction from Calibration and Image Data for Parallel Imaging

Yu Li1, Charles L. Dumoulin1

1Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

The presented work introduces a new approach to reconstructing images iteratively and jointly from calibration and acquired image data in parallel imaging for accelerating MRI. Unlike a conventional parallel imaging technique that seeks a reconstruction solution "unidirectionally" from calibration to real image data, the new technique optimizes the reconstruction "bidirectionally" between low resolution/fully sampled calibration data and high resolution/undersampled real image data. This iterative and joint reconstruction offers high image quality when acquired data, including both calibration and image data, are not sufficient for a conventional reconstruction technique, thereby improving parallel imaging performance.