An information-theory framework for multi-modal visualization

Master Specialization: Visualization, Virtual Reality and Graphic Interaction
Topic Aproval date: 25/02/09
Orientation: research

Student: Roger Bramón
Thesis advisor(s):  Immaculada Boada
Contact: imma.boada at udg.edu

Volume visualization aims at gaining insight into volumetric data using interactive graphics and imaging techniques. The majority of visualization approaches have been developed to visualize data from a unique origin (single model). However, in certain fields, such as medicine, science or engineering, the capability of visualizing different multimodal data sets in a single image (fused model) will facilitate andenhance data interpretation.

The main goals of this project are:

• The study of multi-modal visualization strategies and the identification of their main limitations.
  
• Analyze how information theory tools can be applied in this context to enhance visualization.
  
• Implement a multimodal visualization strategy and compare with classical methods. " Evaluate the proposed method in a real medical scenario.