Direct iterative reconstruction of computed tomography trajectories reconstruction from limited number of projections with DIRECTT
- X-ray computed tomography has many applications in materials science and non-destructive testing. While the standard filtered back-projection reconstruction of the radiographic datasets is fast and simple, it typically fails in returning accurate results from missing or inconsistent projections. Among the alternative techniques that have been proposed to handle such data is the Direct Iterative REconstruction of Computed Tomography Trajectories (DIRECTT) algorithm. We describe a new approach to the algorithm, which significantly decreases the computational time while achieving a better reconstruction quality than that of other established algorithms.
Author details: | Sotirios MagkosORCiDGND, Andreas KupschORCiD, Giovanni BrunoORCiDGND |
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DOI: | https://doi.org/10.1063/5.0013111 |
ISSN: | 0034-6748 |
ISSN: | 1089-7623 |
ISSN: | 1527-2400 |
Pubmed ID: | https://pubmed.ncbi.nlm.nih.gov/33138560 |
Title of parent work (English): | Review of scientific instruments : a monthly journal devoted to scientific instruments, apparatus, and techniques |
Publisher: | American Institute of Physics |
Place of publishing: | Melville |
Publication type: | Article |
Language: | English |
Date of first publication: | 2020/10/14 |
Publication year: | 2020 |
Release date: | 2023/03/27 |
Volume: | 91 |
Issue: | 10 |
Article number: | 103107 |
Number of pages: | 8 |
Funding institution: | European Union's Horizon 2020 research and innovation programme under; Marie Sklodowska-Curie Grant [765604] |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie |
DDC classification: | 5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik |
Peer review: | Referiert |