Digitally Reconstructed Radiograph

Digitally reconstructed radiographs (DRRs) are synthetic X-ray images generated from 3D medical scans, primarily CT scans, aiming to improve the efficiency and accuracy of medical image analysis and procedures. Current research focuses on developing advanced generative models, including diffusion models and GANs, to create high-quality, multi-view DRRs and address challenges like limited training data and style transfer. This work is significant because DRRs offer a way to augment existing datasets, improve the accuracy of disease classification and grading, and enable faster, more robust image-guided interventions by providing differentiable renderings for use in optimization algorithms.