diSNei: A Collaborative Environment for Medical Images Analysis and Visualization

Abstract. In this paper we describe our environment diSNei, a graphical tool for collaborative image analysis and visualization of models created out of slices of volume data; this application allows a number of users to simultaneous and coordinatedly analyze medical images, create graphical models, navigate through them and superimpose raw data onto the models. The application is intended to help physicians interpret data in the case that ambiguous situations may appear, by means of collaboration with other colleagues. It is therefore an integrated environment for expertise interchange among physicians and we believe that it is a powerful tool for academic purposes as well. Other outstanding application features are its being multiplatform, and, particularly, the fact that it can run on NT computers, and the support for stereo rendering so as to obtain a deep sensation of inmersion into the models.

• Type: Conference
• Year: 2000
• Where: MICCAI
• Authors: Carlos Alberola, Rubén Cárdenes, Marcos Martín-Fernández, Miguel A. Martín, Miguel A. Rodríguez-Florido, Juan Ruiz-Alzola
• Keywords: Collaborative Image Analysis, Medical Imaging, MICCAI 2000, Other Outstanding Application, Physicians Interpret Data