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Dual-Energy Computed Tomography of the Liver: Uses in Clinical Practices and Applications
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- Masakatsu Tsurusaki
- Department of Radiology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan
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- Keitaro Sofue
- Department of Radiology, Graduate School of Medicine, Kobe University, Kobe 650-0017, Japan
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- Masatoshi Hori
- Department of Radiology, Graduate School of Medicine, Kobe University, Kobe 650-0017, Japan
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- Kosuke Sasaki
- CT Research Group, GE Healthcare Japan, Hino 191-8503, Japan
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- Kazunari Ishii
- Department of Radiology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan
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- Takamichi Murakami
- Department of Radiology, Graduate School of Medicine, Kobe University, Kobe 650-0017, Japan
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- Masatoshi Kudo
- Department of Gastroenterology and Hepatology, Kindai University, Faculty of Medicine, Osakasayama 589-8511, Japan
Bibliographic Information
- Published
- 2021-01-22
- Resource Type
- journal article
- Rights Information
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- https://creativecommons.org/licenses/by/4.0/
- DOI
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- 10.3390/diagnostics11020161
- Publisher
- MDPI AG
Description
<jats:p>Dual-energy computed tomography (DECT) is an imaging technique based on data acquisition at two different energy settings. Recent advances in CT have allowed data acquisitions and simultaneous analyses of X-rays at two energy levels, and have resulted in novel developments in the field of abdominal imaging. The use of low and high X-ray tube voltages in DECT provide fused images that improve the detection of liver tumors owing to the higher contrast-to-noise ratio (CNR) of the tumor compared with the liver. The use of contrast agents in CT scanning improves image quality by enhancing the CNR and signal-to-noise ratio while reducing beam-hardening artifacts. DECT can improve detection and characterization of hepatic abnormalities, including mass lesions. The technique can also be used for the diagnosis of steatosis and iron overload. This article reviews and illustrates the different applications of DECT in liver imaging.</jats:p>
Journal
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- Diagnostics
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Diagnostics 11 (2), 161-, 2021-01-22
MDPI AG
