Résumé
In medical imaging domain, digitized data is rapidly expanding Therefore it is of major interest for radiologists to be able to do an efficient and accurate extraction of imaging and clinical data (radiology reports) which are essential for a rigorous diagnosis and for a better management of patients. In daily practice, radiology reports are written using a non-standardized language which is often ambiguous and noisy. The queries of radiological images can be greatly facilitated through textual indexing of associated reports. In order to improve the quality of the analysis of such reports, it is desirable to specify an index enlargement algorithm based on spreading activations over a general lexical-semantic network. In this paper, we present such an algorithm along with its qualitative evaluation.