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In this paper, we present our approach in order to implement a Medical Image Database (MIDB) for archiving mammograms and their related information in the Department of Radiology of the Necker Hospital (Paris). The aim of such a database is to help breast cancer screening in clinics, research and education. As implementation of such a MIDB requires the understanding of users' needs, we have analyzed requirements by using the Crews-l'Ecritoire (Cooperative REquirements With Scenarios) approach developed in our laboratory. This approach is based on the 'Requirement Engineering' concept. It helps understanding users' needs using a semi-automatic analysis of textual scenarios, i.e. scenarios written in natural language. This approach mixes concepts of goals and of scenarios into the notion of 'Requirement Chunk'. Authored scenarios and goal discovery are guided by rules, which lead to a structured network of scenarios. Our analysis results in 58 Requirements Chunks gathering 72 authored scenarios and 300 goals which represent MIDB services requested by radiologists in the course of their daily practice.

<title>Crews-l'Ecritoire analysis for the implementation of a medical image database for mammography</title>