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The quality of MRI will affect doctor's judgment on patient's physical conditions,and the high-resolution MRI is more conducive to doctor to make an accurate diagnosis.Using computer technology to perform super-resolution reconstruction of MRI can obtain high-resolution MRI from existing low-resolution MRI.Based on the strong generation ability of the generative adversarial networks and the unsupervised learning characteristics of the generative adversarial networks,this paper studies the MRI super-resolution algorithm based on the generative adversarial networks.It designs a generative adversarial network model DNGAN that combines ResNet structure and DenseNet structure.In this network,the WGAN-GP theory is used as the adversarial loss to stabilize the training of the generative adversarial networks.In addition,the content loss function and the perceptual loss function are also used as the loss function of the network.At the same time,in order to make better use of the rich frequency domain information of MRI,the frequency domain information of MRI is added to the network as a frequency domain loss function.In order to prove the effectiveness of DNGAN,the MRI super-resolution experimental results of DNGAN are compared with that of SRGAN and bicubic interpolation method.Experimental results show that DNGAN model can effectively perform super-resolution reconstruction of MRI.

Abstract: Lung cancer is the leading cause of cancer related deaths worldwide. It is necessary to better understand the molecular mechanisms involved in lung cancer in order to develop more effective therapeutics for the treatment of this disease. Recent reports have shown that Wnt signaling pathway is important in a number of cancer types including lung cancer. However, the role of Frizzled-8 (Fzd-8), one of the Frizzled family of receptors for the Wnt ligands, in lung cancer still remains to be elucidated. Here in this study we showed that Fzd-8 was over-expressed in human lung cancer tissue samples and cell lines. To investigate the functional importance of the Fzd-8 over-expression in lung cancer, we used shRNA to knock down Fzd-8 mRNA in lung cancer cells expressing the gene. We observed that Fzd-8 shRNA inhibited cell proliferation along with decreased activity of Wnt pathway in vitro, and also significantly suppressed A549 xenograft model in vivo (p <0.05). Furthermore, we found that knocking down Fzd-8 by shRNA sensitized the lung cancer cells to chemotherapy Taxotere. These data suggest that Fzd-8 is a putative therapeutic target for human lung cancer and over-expression of Fzd-8 may be important for aberrant Wnt activation in lung cancer. [Copyright &y& Elsevier]

Inflammatory myofibroblastic tumor is a rare mesenchymal tumor, it can also be found on the trunk, head and neck, internal organs, and soft tissue. It has been named as inflammatory pseudotumor, plasma cell granuloma, solitary mast cell tumor, pseudotumor pneumonia and tissue cells, and other inflammatory pseudotumor. The main treatment of inflammatory myofibroblastic tumor patients is through surgical complete excision of the lesion. [ABSTRACT FROM AUTHOR]