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GPU-based smart visibility techniques for tumor surgery planning

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

The rating of distances and infiltrations to vital structures is important for the planning of tumor surgery or interventional procedures. To support such an assessment, the target structures should be clearly emphasized in a 3D visualization by ensuring their visibility.

Methods

Smart Visibility techniques such as Ghosting Views and Breakaway Views are employed. Ghosting Views highlight focus structures by fading out occluding structures and are often used in anatomical illustrations. Breakaway Views reveal the structure by cutting into surrounding structures. As a result, an intersection surface is created that allows relating the focus structure with its surroundings. In this contribution, a specialized GPU-based implementation of these techniques is presented for polygonal models derived from a segmentation of the anatomical structures.

Results

We present different rendering styles of the techniques and apply them to highlight enlarged lymph nodes in the neck, as well as tumors inside the liver. Compared to other methods, we focus on polygonal models and optimizations. Thus, very high frame rates could be achieved on consumer graphics hardware. Furthermore, we employed markers that support the estimation of distances within the scene and possible infiltrations around the focus structures.

Conclusion

The parameters for the techniques are defined automatically to aid the employment in clinical routine. Such an application is also supported by the combination and refinement of established rendering techniques.

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References

  1. Mhler K, Neugebauer M, Tietjen C, Preim B (2007) Viewpoint selection for intervention planning. In: IEEE/eurographics symposium on visualization (EuroVis), pp 267–274

  2. Mhler K, Bade R, Preim B (2006) Adaptive script based animations for intervention planning. In: Proceedings of medical image computing and computer-assisted intervention (MICCAI), pp 984–991

  3. Baer A, Adler F, Lenz D, Preim B (2009) Perception-based evaluation of emphasis techniques used in 3D medical visualization. In: Vision, modeling, and visualization workshop, Braunschweig, pp 295–304

  4. Ling H, Zhou SK, Zheng Y, Georgescu B, Sühling M, Comaniciu D (2008) Hierarchical, learning-based automatic liver segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1–8

  5. Braude I, Marker J, Museth K, Nissanov J, Breen DE (2007) Contour-based surface reconstruction using MPU implicit models. Graph Model 69(2): 139–157

    Article  Google Scholar 

  6. Bade R, Konrad O, Preim B (2007) Reducing artifacts in surface meshes extracted from binary volumes. J WSCG 15(1–3): 67–74

    Google Scholar 

  7. Elmqvist N, Tsigas P (2008) A taxonomy of 3D occlusion management for visualization. IEEE Trans Vis Comput Graph 14(5): 1095–1109

    Article  PubMed  Google Scholar 

  8. Viola I, Gröller ME (2005) Smart visibility in visualization. In: Proceedings of EG workshop on computational aesthetics in graphics, visualization and imaging, pp 209–216

  9. Feiner S, Seligmann DD (1992) Cutaways and ghosting: satisfying visibility constraints in dynamic 3D illustrations. Vis Comput 8(5&6): 292–302

    Article  Google Scholar 

  10. Bichlmeier  C, Wimmer  F, Heining  SM, Navab N (2007) Contextual anatomic mimesis hybrid in-situ visualization method for improving multi-sensory depth perception in medical augmented reality. In: ISMAR ’07: Proceedings of the 2007 6th IEEE and ACM international symposium on mixed and augmented reality, pp 1–10

  11. Beyer J, Hadwiger M, Wolfsberger S, Bühler K (2007) High-quality multimodal volume rendering for preoperative planning of neurosurgical interventions. IEEE Trans Vis Comput Graph 13(6): 1696–1703

    Article  PubMed  Google Scholar 

  12. Krüger J, Schneider J, Westermann R (2006) ClearView: an interactive context preserving hotspot visualization technique. IEEE Trans Vis Comput Graph 12(5): 941–948

    Article  Google Scholar 

  13. Viola I, Kanitsar A, Gröller ME (2004) Importance-driven volume rendering. In: Proceedings of the IEEE visualization, pp 139–145

  14. Diepstraten J, Weiskopf D, Ertl T (2003) Interactive cutaway illustrations. Comput Graph Forum 22(3): 523–532

    Article  Google Scholar 

  15. Rautek P, Bruckner S, Gröller ME (2008) Interaction-dependent semantics for illustrative volume rendering. Comput Graph Forum 27(3): 847–854

    Article  Google Scholar 

  16. Krüger J, Westermann R (2003) Acceleration techniques for GPU-based volume rendering. In: Proceedings of the IEEE visualization, pp 38–45

  17. Li  W, Ritter  L, Agrawala  M, Curless B, Salesin D (2007) Interactive cutaway illustrations of complex 3D models. In: ACM SIGGRAPH 2007 papers, ACM Press, pp 31

  18. Elmqvist N, Assarsson U, Tsigas P (2007) Employing dynamic transparency for 3D occlusion management: design issues and evaluation. In: Proceedings of human-computer interaction—INTERACT (1), pp 532–545

  19. Kirsch F, Döllner J (2005) OpenCSG: a library for image-based CSG rendering. In: Proceedings of the USENIX annual technical conference. USENIX, pp 129–140

  20. Burns M, Finkelstein A (2008) Adaptive cutaways for comprehensible rendering of polygonal scenes. In: Proceedings of ACM SIGGRAPH Asia, pp 1–7

  21. Luft T, Colditz C, Deussen O (2006) Image enhancement by unsharp masking the depth buffer. ACM Trans Graph 25(3): 1206–1213

    Article  Google Scholar 

  22. Mittring  M (2007) Finding next gen: CryEngine 2. In: SIGGRAPH ’07: ACM SIGGRAPH 2007 courses, ACM, New York, pp 97–121

  23. Sloan PPJ, Martin W, Gooch A, Gooch B (2001) The lit sphere: a model for capturing NPR shading from art. In: GRIN’01: graphics interface 2001, Toronto, pp 143–150

  24. Bruckner S, Gröller ME (2007) Style transfer functions for illustrative volume rendering. Comput Graph Forum 26(3): 715–724

    Article  Google Scholar 

  25. Tietjen C, Isenberg T, Preim B (2005) Combining silhouettes, surface, and volume rendering for surgery education and planning. In: IEEE/eurographics symposium on visualization (EuroVis), pp 303–310

  26. Krüger A, Tietjen C, Hintze J, Preim B, Hertel I, Strauß G (2005) Interactive visualization for neck dissection planning. In: Proceedings of the IEEE/eurographics symposium on visualization, pp 295–302

  27. Coffin C, Höllerer T (2006) Interactive perspective cut-away views for general 3D scenes. In: Proceedings of the IEEE symposium on 3D user interfaces, pp 25–28

  28. McGuire M, Hughes JF, Egan KMK, Everitt C (2003) Fast, practical and robust shadows. NVIDIA Corporation, Austin

    Google Scholar 

  29. Tietjen C, Dornheim J, Krüger A, Preim B, Hertel I, Strauss G (2005) Computer assisted surgery planning for neck dissections. In: Computer aided surgery around the head—3rd international symposium

  30. Everitt C (2001) Interactive order-independent transparency. NVIDIA, California

    Google Scholar 

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Authors and Affiliations

  1. Institute for Simulation and Graphics, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany

    Christoph Kubisch, Christian Tietjen & Bernhard Preim

Authors
  1. Christoph Kubisch
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  2. Christian Tietjen
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  3. Bernhard Preim
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Corresponding author

Correspondence to Christoph Kubisch.

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Kubisch, C., Tietjen, C. & Preim, B. GPU-based smart visibility techniques for tumor surgery planning. Int J CARS 5, 667–678 (2010). https://doi.org/10.1007/s11548-010-0420-0

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  • DOI: https://doi.org/10.1007/s11548-010-0420-0

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