Dynamic Cone Beam Reconstruction Using a New Level Set Formulation

Authors:
Andreas Keil;Jakob Vogel;Günter Lauritsch;Nassir Navab
Affiliations:
Computer Aided Medical Procedures, TU München, Germany;Computer Aided Medical Procedures, TU München, Germany;Siemens AG, Healthcare Sector, Forchheim, Germany;Computer Aided Medical Procedures, TU München, Germany
Venue:
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Year:
2009

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Abstract

This paper addresses an approach toward tomographic reconstruction from rotational angiography data as it is generated by C-arms in cardiac imaging. Since the rotational acquisition scheme forces a trade-off between consistency of the scene and reasonable baselines, most existing 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 to other reconstruction settings as well.