Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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C. Unger, M. Groher, N. Navab
Image Based Rendering for Motion Compensation in Angiographic Roadmapping
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska (USA), June 24-26, 2008 (bib)

2D angiographic roadmapping is used frequently during image guided interventions to superimpose vessel structures onto currently acquired fluoroscopic images. While the fluoroscopic images, acquired with 12-15 frames per second, show patient bone anatomy as well as the current location of the inserted catheter, the roadmap delineates vessels to provide path information and to avoid accidental vessel wall punctures during catheter advancement. This technique successfully reduces the injection of contrast agent, which is hazardous for the patient; however, it suffers from inaccuracy due to inevitable patient movement, which yields a misalignment of the roadmap laid over the current fluoroscopic frame. We propose a method for rigid patient motion compensation via the trifocal tensor and Image Based Rendering (IBR). The method uses two contrasted and slightly shifted views and the current fluoroscopic frame. Different to the existing solutions, we perform the motion compensation inherently in 3D, increasing reliability and accuracy of the resulting vascular rendering. Moreover, with the IBR technique, we avoid an explicit reconstruction, thus achieving reasonable results even for very small patient movements, which are common in interventional scenarios.
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