diSNei: A Collaborative Environment for Medical Images Analysis and Visualization

Abstract

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.

Web-Based Multi-Dimensional Medical Image Collaborative Annotation System

“…At present, there appears some medical image collaborative visualization system, the DIAGNOSIS systems [ 9 ], Disney system [ 10 ] and CORBA-based (Common Object Request Broker Architecture) medical image collaborative visualization system [11]. These system are adopted a collaborative model of sharing event which: 1) need to backup an image data set in each collaborative client.…”

Vision-Based User Interfaces for Health Applications: A Survey

“…A task-oriented, collaborative interface for the visualization and analysis of fetal 3D ultrasound is proposed by Alberola-Lopez et al [20]. Their interface allows for session-based work, therefore minimizing errors caused by user fatigue.…”

“…Their interface allows for session-based work, therefore minimizing errors caused by user fatigue. In [20], segmentation and/or 3D data manipulation are performed by one user who has acquired control through a tokengrabbing paradigm; the other users are 'listeners' until the token is released. Textbased information exchange is asynchronuous, therefore feedback or discussions on a specific graphical model can take place at any time.…”