A web interface for 3D visualization and interactive segmentation of medical images

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.
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Conference papers
17th International Conference on 3D Web Technology (Web 3D), Aug 2012, Los Angeles, United States. ACM, pp.51-58, 2012, <10.1145/2338714.2338722>


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Hector Jacinto, Razmig Kéchichian, Michel Desvignes, Rémy Prost, Sébastien Valette. A web interface for 3D visualization and interactive segmentation of medical images. 17th International Conference on 3D Web Technology (Web 3D), Aug 2012, Los Angeles, United States. ACM, pp.51-58, 2012, <10.1145/2338714.2338722>. <hal-00732335>

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