Background: Distal radius fractures (DRFs) are a common orthopaedic injury, often requiring surgical intervention. Routine postoperative radiographs are frequently obtained after surgical fixation to ensure adequacy of fixation and rule out early complications, yet their necessity remains unclear. Through this study, we tried to evaluate the impact of routine postoperative radiographs on the management of DRFs.
View Article and Find Full Text PDFIn this study, we introduce a denoising method aimed at improving the contrast ratio in low-field MRI (LFMRI) using an advanced 3D deep convolutional residual network model. Our approach employs synthetic brain imaging datasets that closely mimic the contrast and noise characteristics of LFMRI scans, addressing the limitation of available in-vivo LFMRI datasets for training deep learning models. In the simulation data, the Relative Contrast Ratio (RCR) increased, and similar improvements were observed in the in-vivo data across different imaging conditions.
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