{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T13:52:48Z","timestamp":1773841968757,"version":"3.50.1"},"reference-count":18,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,12,29]],"date-time":"2023-12-29T00:00:00Z","timestamp":1703808000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Imaging"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/jimaging10010011","type":"journal-article","created":{"date-parts":[[2023,12,29]],"date-time":"2023-12-29T09:15:11Z","timestamp":1703841311000},"page":"11","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Simulation-Assisted Augmentation of Missing Wedge and Region-of-Interest Computed Tomography Data"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-0348-1806","authenticated-orcid":false,"given":"Vladimir O.","family":"Alekseychuk","sequence":"first","affiliation":[{"name":"Institute of Computer Vision & Remote Sensing, Technical University Berlin, Marchstr. 23, 10587 Berlin, Germany"},{"name":"Vision in X Industrial Imaging GmbH, Johann-Hittorf-Str. 8, 12489 Berlin, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1585-1743","authenticated-orcid":false,"given":"Andreas","family":"Kupsch","sequence":"additional","affiliation":[{"name":"Bundesanstalt f\u00fcr Materialforschung und -Pr\u00fcfung (BAM), Unter den Eichen 87, 12205 Berlin, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3641-2635","authenticated-orcid":false,"given":"David","family":"Plotzki","sequence":"additional","affiliation":[{"name":"Bundesanstalt f\u00fcr Materialforschung und -Pr\u00fcfung (BAM), Unter den Eichen 87, 12205 Berlin, Germany"},{"name":"Felix Bloch Institute for Solid State Physics, University Leipzig, 04103 Leipzig, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3861-8426","authenticated-orcid":false,"given":"Carsten","family":"Bellon","sequence":"additional","affiliation":[{"name":"Bundesanstalt f\u00fcr Materialforschung und -Pr\u00fcfung (BAM), Unter den Eichen 87, 12205 Berlin, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9632-3960","authenticated-orcid":false,"given":"Giovanni","family":"Bruno","sequence":"additional","affiliation":[{"name":"Bundesanstalt f\u00fcr Materialforschung und -Pr\u00fcfung (BAM), Unter den Eichen 87, 12205 Berlin, Germany"},{"name":"Institute of Physics and Astronomy, University Potsdam, Karl-Liebknecht-Str. 24\u201325, 14476 Potsdam, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2385","DOI":"10.1118\/1.1776673","article-title":"A novel reconstruction algorithm to extend the CT scan field-of-view","volume":"31","author":"Hsieh","year":"2004","journal-title":"Med. 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