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diSNei: A Collaborative Environment for Medical Images Analysis and Visualization

Alberola-Lopez C., Cardenes R., Martın M., Martın M.A.., Rodrıguez-Florido M.A.., Ruiz-Alzola J.


Institution:	Laboratory of Mathematics in Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
Publisher:	Med Image Comput Comput Assist Interv. MICCAI 2000
Publication Date:	Oct-2000
Volume Number:	3
Pages:	814-823
Citation:	Int Conf Med Image Comput Comput Assist Interv. 2000;3:814-823.
Keywords:	diSNei, Analysis, Visualization
Appears in Collections:	SPL, LMI, SLICER
Sponsors:	TIC97-0772 1FD97-0881
Generated Citation:	Alberola-Lopez C., Cardenes R., Martın M., Martın M.A.., Rodrıguez-Florido M.A.., Ruiz-Alzola J. diSNei: A Collaborative Environment for Medical Images Analysis and Visualization. Int Conf Med Image Comput Comput Assist Interv. 2000;3:814-823.
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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 immersion into the models.

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