There are two major challenges in image data management: the integration of low and high-level features of images for retrieval purpose, and the adoption of these features with the classical DBMS to satisfy different types of applications. In our previous work, we addressed these challenges for a medical application by proposing a new image data repository model and introducing a novel system of similarity-based operators [11, 13]. In this paper, we present a prototype called Extended Medical Image Management System (EMIMS) implementing our previous proposals. EMIMS is designed to merge several facets of medical image management requirements with a generic repository model to offer new content-based 1 operators that allow users to express multi-criteria queries. We first present the architecture of EMIMS and then demonstrate its different components. We also show how a user is able to express a combination of relational and content-based queries using its visual interfaces.