RealDRR University of Antwerp Vrije Universiteit Brussel
Introduction: Digitally reconstructed radiographs (DRRs) represent valuable patient-specific pretreatment training data for tumor tracking algorithms. However, using current rendering methods, the similarity of the DRRs to real X-ray images is limited, requires time-consuming measurements and/or are computationally expensive. In this study we present RealDRR, a novel framework for highly realistic and computationally efficient DRR rendering. ...