DEEP LEARNING RECONSTRUCTION IN MAGNETIC RESONANCE IMAGING
June 9, 2020
Deep Learning Reconstruction (DLR) used in combination with Magnetic Resonance Imaging (MRI) has the potential to help diagnose diseases earlier, faster and better. It improves image quality by eliminating noise, and increasing signal to noise ratio, helping to obtain ultra-high-resolution images. Bordeaux University Hospital, in France, is working with Canon Medical’s DLR solution in numerous applications in research and clinical practice. Through this, it has been able to make observations on anatomy that have previously not been possible on 3T systems. The team has been using the system routinely for about a year now and is working to validate the tool scientifically.