- AutorIn
- Vladimir O. Alekseychuk
- Andreas Kupsch
- David Plotzki
- Carsten Bellon
- Giovanni Bruno
- Titel
- Simulation-Assisted Augmentation of Missing Wedge and Region-of-Interest Computed Tomography Data
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-1017687
- Quellenangabe
- Journal of imaging: open access journal
Erscheinungsjahr: 2024
Jahrgang: 10
Heft: 1
Seiten: 1-15
E-ISSN: 2313-433X - Erstveröffentlichung
- 2024
- Abstract (EN)
- This study reports a strategy to use sophisticated, realistic X-ray Computed Tomography (CT) simulations to reduce Missing Wedge (MW) and Region-of-Interest (RoI) artifacts in FBP (Filtered Back-Projection) reconstructions. A 3D model of the object is used to simulate the projections that include the missing information inside the MW and outside the RoI. Such information augments the experimental projections, thereby drastically improving the reconstruction results. An X-ray CT dataset of a selected object is modified to mimic various degrees of RoI and MW problems. The results are evaluated in comparison to a standard FBP reconstruction of the complete dataset. In all cases, the reconstruction quality is significantly improved. Small inclusions present in the scanned object are better localized and quantified. The proposed method has the potential to improve the results of any CT reconstruction algorithm.
- Andere Ausgabe
- Erstveröffentlichung
DOI: 10.3390/jimaging10010011
Link: https://www.mdpi.com/2313-433X/10/1/11 - Freie Schlagwörter (EN)
- computed tomography, missing wedge, region of interest, augmented data, CT simulation
- Klassifikation (DDC)
- 004
- Verlag
- MDPI, Basel
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:15-qucosa2-1017687
- Veröffentlichungsdatum Qucosa
- 21.01.2026
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0