Abstract
CT-images acquired by mobile C-arm devices can contain artefacts caused by positioning errors. We propose a data driven method based on iterative 3D-reconstruction and 2D/3D-registration to correct projection data inconsistencies. With a 2D/3D-registration algorithm, transformations are computed to align the acquired projection images to a previously reconstructed volume. In an iterative procedure, the reconstruction algorithm uses the results of the registration step. This algorithm also reduces small motion artefacts within 3D-reconstructions. Experiments with simulated projections from real patient data show the feasibility of the proposed method. In addition, experiments with real projection data acquired with an experimental robotised C-arm device have been performed with promising results.
| Originalsprache | Englisch |
|---|---|
| Titel | MICCAI 2007: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 |
| Seitenumfang | 9 |
| Band | 4791 |
| Herausgeber (Verlag) | Springer Verlag |
| Erscheinungsdatum | 01.12.2007 |
| Seiten | 177-185 |
| ISBN (Print) | 978-3-540-75756-6 |
| ISBN (elektronisch) | 978-3-540-75757-3 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 01.12.2007 |
| Veranstaltung | 10th International Conference on Medical Imaging and Computer-Assisted Intervention - Brisbane, Australien Dauer: 29.10.2007 → 02.11.2007 Konferenznummer: 71013 |
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Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
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SDG 9 – Industrie, Innovation und Infrastruktur
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