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.
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Keywords
- Active Contour
- Soft Constraint
- Tomographic Reconstruction
- Algebraic Reconstruction Technique
- Simultaneous Algebraic Reconstruction Technique
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Keil, A., Vogel, J., Lauritsch, G., Navab, N. (2009). Dynamic Cone Beam Reconstruction Using a New Level Set Formulation. In: Yang, GZ., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. MICCAI 2009. Lecture Notes in Computer Science, vol 5762. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04271-3_48
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DOI: https://doi.org/10.1007/978-3-642-04271-3_48
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