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Abstract #4377

Joint Sparsity and Low Rankness-based Spectroscopy Reconstruction for Magnetic Resonance Diffusion-Ordered NMR

Di Guo1, Zhangren Tu1,2, Zifei Zhang3, Tianyu Qiu3, Xiaofeng Du1, Min Xiao2, Zhong Chen3, and Xiaobo Qu3
1School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China, 2School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen, China, 3Department of Electronic Science, Xiamen University, Xiamen, China

The magnetic resonance diffusion ordering spectrum has been widely used in the separation of mixture due to the mobility of molecular self-diffusion reaction molecules. We propose a hybrid time and exponential decay signal recovery method based on low rank Hankel matrix1 to accelerate the acquisition. The experimental results show that this method enables to reduce the error between the recovery diffusion spectrum and the fully sampled signal, and enhance the peak intensity.

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