Abstract #4377

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

Di Guo¹, Zhangren Tu^1,2, 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 matrix¹to 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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