New multimodality imaging systems bring together anatomical and molecular information and require the competency and accreditation of individuals from both radiology and nuclear medicine. This paper sets out the positions and aspirations of the European Society of Radiology (ESR) and the European Association of Nuclear Medicine (EANM) working together on an equal and constructive basis for the future benefit of both specialties. ESR and EANM recognise the importance of coordinating working practices for multimodality imaging systems and that undertaking the radiology and nuclear medicine components of imaging with hybrid systems requires different skills. It is important to provide adequate and appropriate training in the two disciplines in order to offer a proper service to the patient using hybrid systems. Training models are proposed with the overall objective of providing opportunities for acquisition of special competency certification in multimodality imaging. Both organisations plan to develop common procedural guidelines and recognise the importance of coordinating the purchasing and management of hybrid systems to maximise the benefits to both specialties and to ensure appropriate reimbursement of these examinations. European multimodality imaging research is operating in a highly competitive environment. The coming years will decide whether European research in this area manages to defend its leading position or whether it falls behind research in other leading economies. Since research teams in the member states are not always sufficiently interconnected, more European input is necessary to create interdisciplinary bridges between research institutions in Europe and to stimulate excellence. ESR and EANM will work with the European Institute for Biomedical Imaging Research (EIBIR) to develop further research opportunities across Europe. European Union grant-funding bodies should allocate funds to joint research initiatives that encompass clinical research in diagnostic imaging in conjunction with research in mechanical and electronic engineering, informatics and biostatistics, and epidemiology.