CT-based screening of heavy smokers is designed for early detection of lung cancer, but also offers the possibility to detect multiple other diseases at an early stage. This is especially interesting when the screening images would allow automatic detection of these diseases. This project is focusing on the automatic detection of cardiovascular disease and osteoporosis in lung cancer screening trials. The detection needs to be robust against various acquisition protocols, to allow the application of these automatic algorithms to scans acquired in different lung cancer screening trials. This is a collaborative project between the Image Sciences Institute (ISI), UMC Utrecht and the Diagnostic Image Analysis Group (DIAG), Radboud University Medical Center.