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STIR-Net: Deep Spatial-Temporal Image Restoration Net for Radiation Reduction in CT Perfusion
In this study, we finalize extensive experiments to appraise the image restoration performance at different levels of tube current and spatial and temporal resolution scales. The results demonstrate the capability of our STIR-Net to restore high-quality scans at as low as 11% of absorbed radiation dose of the current imaging protocol, yielding an average of 10% improvement for perfusion maps compared to the patch-based log likelihood method.
Source: Frontiers in Neurology - June 25, 2019 Category: Neurology Source Type: research

A Genetic Variant of miR-34a Contributes to Susceptibility of Ischemic Stroke Among Chinese Population
This study was supported by National Natural Science Foundation of China (Nos. 81560552, 81260234), Natural Science Foundation of Guangxi Zhuang Autonomous Region (CN) (2017JJA180826), Innovation Project of Guangxi Graduate Education (CN) (201601009) and Key Laboratory Open Project Fund of Guangxi Zhuang Autonomous Region (CN) (kfkt20160064). Conflict of Interest Statement The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Supplementary Material The Supplementary Material for this article can be fou...
Source: Frontiers in Physiology - April 23, 2019 Category: Physiology Source Type: research