Paper
7 August 2001 Crews-l'Ecritoire analysis for the implementation of a medical image database for mammography
Souad Demigha, Colette Rolland, Thierry-Pascal Baum, Corinne Balleyguier, Benedicte Vincent, Joel Chabriais, Yves Menu
Author Affiliations +
Abstract
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Souad Demigha, Colette Rolland, Thierry-Pascal Baum, Corinne Balleyguier, Benedicte Vincent, Joel Chabriais, and Yves Menu "Crews-l'Ecritoire analysis for the implementation of a medical image database for mammography", Proc. SPIE 4323, Medical Imaging 2001: PACS and Integrated Medical Information Systems: Design and Evaluation, (7 August 2001); https://doi.org/10.1117/12.435505
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Databases

Mammography

Medical imaging

Data modeling

Radiology

Connectors

Breast cancer

Back to Top