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Cardiac C-Arm CTIn medical collaboration with:Dr. Julinda Mehilli (Deutsches Herzzentrum München) Scientific Director: Prof. Dr. Nassir Navab Contact Person(s): Andreas Keil In industrial collaboration with: Dr. Günter Lauritsch (Siemens Healthcare AX, Forchheim), Dr. Jan Boese (Siemens Healthcare AX, Forchheim) |
Abstract
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 4 to 6s 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 first experiments.Videos
| Schematic illustration of the acquisition process |
| Evolution of the reference level set Phi_0 |
| A 3D comparison of ground truth (green) and reconstructed (red) deformable shapes for synthetic data at 50% noise. |
| A 2D comparison of input projections (gray value images) and reconstrructed and projected (red) deformable shapes for segmented phantom data at 50% noise. |
Team
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Alumni
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Location
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Technische Universität München Institut für Informatik / I16 Boltzmannstr. 3 85748 Garching bei München Tel.: +49 89 289-17058 Fax: +49 89 289-17059 |
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Deutsches Herzzentrum München Klinik an der Technischen Universität München Lazarettstr. 62 80636 München Room: 215 Tel.: +49 89 1812 3710 |
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internal project page
Please contact Andreas Keil for available student projects within this research project.
