DESK : 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. More info in the papers  [1]  [2] :

Demos

Click here to see a live generic demonstration

Demo for [3] :

Click here to see an example of big data registration (200 CT volumes):

Source code

Source code under CeCILL-B license (BSD-compatible) available here


References

  1. JACI-12. Jacinto H, Kéchichian R, Desvignes M, Prost R, Valette S. A Web Interface for 3D Visualization and Interactive Segmentation of Medical Images. Dans: 17th International Conference on 3D Web Technology (Web 3D 2012). 17th International Conference on 3D Web Technology (Web 3D 2012). Los-Angeles, USA; 2012. p. 51-58. Available from: http://hal.archives-ouvertes.fr/hal-00732335
  2. KECH-13. Kéchichian R, Valette S, Desvignes M, Prost R. Shortest-path constraints for 3D multiobject semiautomatic segmentation via clustering and Graph Cut. IEEE Transactions on Image Processing [Internet]. 2013 ;22(11):4224-36. Available from: http://hal.archives-ouvertes.fr/hal-00983319
  3. AGIE-16. Agier R, Valette S, Fanton L, Croisille P, Prost R. Hubless 3D medical image bundle registration. Dans: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Vol. 3. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Rome, Italy; 2016. p. 265--272. Available from: https://hal.archives-ouvertes.fr/hal-01284240v1