Dynamic Cone Beam Reconstruction Using a New Level Set Formulation

Abstract. This paper addresses an approach toward tomographic reconstruction from rotational angiography data as it is generated by Carms 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.

• Type: Conference
• Year: 2009
• Where: MICCAI
• Authors: Andreas Keil, Jakob Vogel, Günter Lauritsch, Nassir Navab
• Keywords: Medical Imaging, MICCAI 2009, Rotational Angiography Data, Symbolic Reconstruction, Tomographic Reconstruction