An intelligent image interpretation system should be able to help the physician during diagnosis by taking into account medical imaging specificities: (1) various domains of knowledge -- medical scene, acquisition, image processing (IP), interpretation; (2) complex IP procedures which provide relevant diagnostic information, particularly multimodality medical imaging procedures. In this context, we are designing a multimodality medical image interpretation system (MMIIS) involving different expert systems and procedural actors: (1) The medical image database, with an image object formalism. Proper image data are managed as files, image data on which requests can be made, in relational DBs, inference image information in knowledge bases. (2) The user interface we chose was as standard as possible to build a portable system (OSF/Motif). (3) Expert systems and particularly the IP expert system, with specific characteristics, describing knowledge about IP procedures (comparing an object-oriented and a Prolog-based implementation). (4) The IP actor, structured thanks to an IP classification. (5) Communication interfaces, realizing the integration of the above components. They are necessary to achieve homogeneity throughout the system. The complexity of the whole system is due to the complexity of implementing each module as well as their integration. The architecture of the integrated MMIIS is presented as well as the functionality, implementation, and interaction of its various components.