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Abstract #4403

Suppression of Residual Noise & Artifact in Parallel Imaging by Iterative Noquist

Lei Hou Hamilton1, Sumati Krishnan2, Senthil Ramamurthy2, David Moratal3, Marijn Brummer2

1School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States; 2School of Medicine, Emory University, Atlanta, GA, United States; 3Center for Biomaterials & Tissue Engineering, Universitat Politcnica de Valncia, Valncian, Spain

A simplified variant of the PINOT method is presented, which combines parallel imaging and iterative Noquist (iNoquist) sequentially to greatly accelerate the reconstruction speed. Compared with parallel imaging alone with the same reduction factor, this approach reduces noise and residual artifacts. Compared with original PINOT with the same reduction factor, it has the advantage of alleviating computational burden, albeit at some penalty in image quality. Furthermore, although illustrated here only for SPACE-RIP, we note that iNoquist can be used as a post processing method following any parallel imaging methods to suppress residual noise and artifacts.