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1 CREATIS - Centre de recherche en applications et traitement de l-image pour la santé 2 GIPSA-AGPIG - AGPIG GIPSA-DIS - Département Images et Signal

Abstract : We propose a web-accessible image visualization and processing framework well-suited for medical applications. Exploiting client-side HTML5 and WebGL technologies, our proposal allows the end-user to efficiently browse and visualize volumic images in an Out-Of-Core OOC manner, annotate and apply server-side image processing algorithms and interactively visualize 3D medical models. Server-side implementation is driven by a file-based, simple, robust and flexible Remote Procedure Call RPC scheme well suited for heterogeneous applications. We demonstrate the efficiency of our approach with both an interactive medical image segmentation and a 3D rendering of segmented anatomical structures. As a secondary contribution, we improve the segmentation algorithm with the introduction of user-defined anatomical priors.

Keywords : HTML5 WebGL clustering graph-cuts meshing segmentation web interface





Author: Hector Jacinto - Razmig Kéchichian - Michel Desvignes - Rémy Prost - Sébastien Valette -

Source: https://hal.archives-ouvertes.fr/



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