title: GPU-based smart visibility techniques for tumor surgery planning.
abstract: OBJECTIVE
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Institute for Simulation and Graphics, Otto-von-Guericke University of Magdeburg, Germany. kubisch@isg.cs.uni-magdeburg.de
authors.forename: Christoph
authors.initials: C
authors.lastname: Kubisch
authors.forename: Christian
authors.initials: C
authors.lastname: Tietjen
authors.forename: Bernhard
authors.initials: B
authors.lastname: Preim
mesh_terms: D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D009369:Neoplasms / Q000175:diagnosis / Q000601:surgery*; D011300:Preoperative Care / Q000379:methods*; D015203:Reproducibility of Results; D014584:User-Computer Interface