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

A. Keil, J. Vogel, G. Lauritsch, N. Navab
Dynamic Cone-Beam Reconstruction Using a Variational Level Set Formulation
Proc. Int'l Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), Beijing, P.R. China, September 5-10, 2009. (bib)

Tomographic reconstruction from rotational cone-beam X-ray data is only solved for static objects of interest (like the abdominal region). In cardiac imaging, a rotational angiography sequence takes about 3 to 5s and therefore spans several heart beats. Since such an acquisition scheme forces a trade-off between consistency of the scene and reasonable baselines between camera positions, standard reconstruction techniques fail at recovering the 3D+t scene. We propose a new reconstruction framework based on variational level sets including a new data term for symbolic reconstruction as well as a novel incorporation of motion into the level set formalism. The resulting simultaneous estimation of shape and motion proves feasible in the presented experiments. Since the proposed formulation offers a great flexibility in incorporating other data terms as well as hard or soft constraints, it allows an adaption to a wider range of problems and could be of interest for other reconstruction settings as well.
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