Keywords: Registration / Visualization, Reconstruction, Computer Vision
Abstract
These days, X-ray fluoroscopic imaging is the modality used most widely to guide physicians in angiographic interventions. Current guidance procedures are based on a roadmap, e.g. a digital subtracted angiography (DSA) acquired from a fixed viewpoint and the injection of contrast agent to visualize the current vessel anatomy. Such roadmaps cannot directly be blended with the fluoroscopic sequence due to misalignment caused by respiratory motion. A fundamental step toward a successful integration of any navigation application into clinical routine is the estimation and compensation of respiratory motion. We propose a novel method for deformable tracking of multiple ridge segments based on a MAP-MRF formulation and efficient discrete optimization. Ridges are modeled as B-Spline curves which allows us to apply smooth deformations based on a minimal number of parameters. Our tracking framework is well adapted to the noisy domain of fluoroscopic imaging and the handling of multiple segments.
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Hauke Heibel for available student projects within this research project.