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Global and Local Deep Dictionary Learning Network for Accelerating the Quantification of Myelin Water Content

Quan Chen¹, Huajun She¹, Zhijun Wang¹, and Yiping P. Du¹
¹School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

A Global and Local Deep Dictionary Learning Network (GLDDL) is proposed to accelerate the MWF mapping. The GLDDL network explores both global and local spatiotemporal correlations. The merits of traditional DL and that of the deep learning are combined in the propose network.

Figure 1. a) The overview of the propose GLDDL network. b) The GLDDL block. The global spatiotemporal encoder and decoder layers are used before and after the local DL network, respectively. c) The details of the local DL network.

Figure 3. The comparative MWF maps of the DLTG, CRNN, and GLDDL reconstructions at R = 6 from one subject. The NMSE are showed at the bottom of the corresponding images.