Dynamic Cone Beam Reconstruction Using a New Level Set Formulation

作者: Andreas Keil , Jakob Vogel , Günter Lauritsch , Nassir Navab

DOI: 10.1007/978-3-642-04271-3_48

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摘要: This paper addresses an approach toward tomographic reconstruction from rotational angiography data as it is generated by C-arms in cardiac imaging. Since the acquisition scheme forces a trade-off between consistency of scene and reasonable baselines, most existing techniques fail at recovering 3D+t scene. We propose new framework based on variational level sets including term for symbolic well novel incorporation motion into set formalism. The resulting simultaneous estimation shape proves feasible presented experiments. proposed formulation offers great flexibility incorporating other terms hard or soft constraints, allows adaption to wider range problems could be interest settings well.

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