Towards Information Visualization and Clustering Techniques for MRI Data Sets

Umberto Castellani, Carlo Combi, Pasquina Marzola, Vittorio Murino, Andrea Sbarbati, Marco Zampieri

Abstract: The paper deals with the integrated use of Information Visualization techniques and clustering algorithms to analyze Magnetic Resonance Imaging (MRI) data sets. The paper also describes the criteria we followed in designing and implementing the prototype, according to the above approach. Finally, some preliminary results are given for the considered medical application.