Int J Comput Assist Radiol Surg - GPU-based smart visibility techniques for tumor surgery planning.

Tópicos

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Resumo

RPOSE: 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.

Resumo Limpo

rpose rate distanc infiltr vital structur import plan tumor surgeri intervent procedur support assess target structur clear emphas d visual ensur visibilitymethod smart visibl techniqu ghost view breakaway view employ ghost view highlight focus structur fade occlud structur often use anatom illustr breakaway view reveal structur cut surround structur result intersect surfac creat allow relat focus structur surround contribut special gpubas implement techniqu present polygon model deriv segment anatom structuresresult present differ render style techniqu appli highlight enlarg lymph node neck well tumor insid liver compar method focus polygon model optim thus high frame rate achiev consum graphic hardwar furthermor employ marker support estim distanc within scene possibl infiltr around focus structuresconclus paramet techniqu defin automat aid employ clinic routin applic also support combin refin establish render techniqu

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