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Abstract #2884

Iterative IIR GRAPPA: A Novel Improved Method for Parallel MRI

Kaiyu Zheng1, Wendy Ni1, Jingxin Zhang2

1Monash Unversity; 2Department of Electrical and Computer Systems Engineering, Monash University, Clayton, VIC 3800, Australia

GRAPPA proves to be an effective constrained parallel MRI method. However, it does not exploit the acqired data to the utmost.In our investigation to produce a superior parallel Magnetic Resonance Imaging (MRI) reconstruction technique, we propose the novel method of Infinite Impulse Response Iterative GRAPPA (IIR iGRAPPA). This method uses both acquired and reconstructed data points to iteratively interpolate downsampled k-space data, achieving excellent reconstruction quality without the need to acquire much additional data for calibration purposes. Experimental results clearly demonstrate the superiority of the proposed method over the conventional GRAPPA method.