GPU-based fusion method for 3D electrophysiological data visualization

Transfer function design is a challenging issue of volume visualization. Some simulation and medical applications which require visualization often produce at least two values per sampling point in the so called multi-modal data, which makes transfer function design even more complex. In this paper, we present a novel visualization method for assisting the assessment of electrophysiological simulation results. The main idea of the proposed method is that the anatomical data of the heart is added as background information to enhance the illustration results of the tissue with electrophysiological behaviour. A improved context-preserving model is proposed to enhance the boundary information of different tissue. The two modalities data of both tissue with electrophysiological simulation and the other tissues are rendering by the proposed fusion rendering method with user friendly interactive facilities. Compared to conventional visualization method, our method can not only provide rendering result of tissue with electrophysiological simulation, but also can provide the spatial information of the given tissue in the heart.