Intelligent semantic information retrieval in medical pattern cognitive analysis

Abstract

This paper will present a new approach to the interpretation of semantic information retrieved from complex X-ray images. The tasks of the analysis and the interpretation of cognitive meaning of selected medical diagnostic images are made possible owing to the application of graph image languages based on tree grammars. One of the main problems in the fast accessing and analysis of information collected in various medical examinations is the way to transform efficiently the visual information into a form enabling intelligent recognition and understanding of semantic meaning of selected patterns. Another problem in accessing for useful information in multimedia databases is the creation of a method of representation and indexing of important objects constituting the data contents. In the paper we describe some examples presenting ways of applying picture languages techniques in the creation of intelligent cognitive multimedia systems for selected classes of medical images showing especially wrist structures. © Springer-Verlag Berlin Heidelberg 2005.