Ke Liu1, Jingxin Zhang1, Ran Yang2, Cishen Zhang3
1Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC, Australia; 2School of Infomation Science and Technology, Sun Yat-Sen University, Guangzhou, Guangdong, China; 3School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
The incorporation of dynamic imaging and parallel imaging techniques is highly desirable and intensively researched. We propose a 3D IIR-GRAPPA method which significantly reduces the number of ACS lines required and improves the quality of reconstructed images with less visual artefact. This method fits an IIR kernel model to reconstruct the unacquired k-t space data points for acceleration purpose. Experimental results demonstrate the advantages of the proposed method over the existing ones.
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