Assessment of gastric wall structure using ultra-high-resolution computed tomography
To evaluate the image quality of ultra-high-resolution CT (U-HRCT) in the comparison among four different reconstruction methods, focusing on the gastric wall structure, and to compare the conspicuity of a three-layered structure of the gastric wall between conventional HRCT (C-HRCT) and U-HRCT. Our...
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Veröffentlicht in: | European journal of radiology 2022-01, Vol.146, p.110067-110067, Article 110067 |
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Sprache: | eng |
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Zusammenfassung: | To evaluate the image quality of ultra-high-resolution CT (U-HRCT) in the comparison among four different reconstruction methods, focusing on the gastric wall structure, and to compare the conspicuity of a three-layered structure of the gastric wall between conventional HRCT (C-HRCT) and U-HRCT.
Our retrospective study included 48 patients who underwent contrast-enhanced U-HRCT. Quantitative analyses were performed to compare image noise of U-HRCT between deep-learning reconstruction (DLR) and other three methods (filtered back projection: FBP, hybrid iterative reconstruction: Hybrid-IR, and Model-based iterative reconstruction: MBIR). The mean overall image quality scores were also compared between the DLR and other three methods. In addition, the mean conspicuity scores for the three-layered structure of the gastric wall at five regions were compared between C-HRCT and U-HRCT.
The mean noise of U-HRCT with DLR was significantly lower than that with the other three methods (P |
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ISSN: | 0720-048X 1872-7727 |
DOI: | 10.1016/j.ejrad.2021.110067 |