2018
DOI: 10.1016/j.ejrad.2018.10.012
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Optimal window settings in single-source dual-energy computed tomography of the abdomen

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Cited by 20 publications
(3 citation statements)
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“…Nevertheless, the SNRs of MPV in the DECT group were superior to the SECT group, which is consistent with the study of Noda Y et al (23,24). The major cause was the existence or absence of an automated tube current modulation scheme.…”
Section: Signal (Hu) Noise (Sd) and Signal-to-noise Ratio (Snr)supporting
confidence: 90%
“…Nevertheless, the SNRs of MPV in the DECT group were superior to the SECT group, which is consistent with the study of Noda Y et al (23,24). The major cause was the existence or absence of an automated tube current modulation scheme.…”
Section: Signal (Hu) Noise (Sd) and Signal-to-noise Ratio (Snr)supporting
confidence: 90%
“…The image quality and enhancement characteristics of VMIs at 75-77 keV has been demonstrated to correspond to conventional 120-kVp single-energy CT images (17)(18)(19). CT numbers exponentially increase with the decreasing kiloelectron-volt levels, and aortic enhancement on 40-keV VMIs is reported to be nearly twofold compared with 60 keV (20). In our phantom study, we found that CT numbers at 40 keV were more than twice the attenuation at 60 keV, thus providing an opportunity to optimize the trigger threshold on the basis of the desired kiloelectron volt of the image to be generated.…”
Section: Discussionmentioning
confidence: 86%
“…With CT images, it is always an inordinate challenge to select the optimal WW and WL setting for an atlas that incorporates the whole body. When interpreting CT images, radiologists optimize these window adjustments for tissues relevant to their task, and these alterations are crucial for the effective detection of some pathologies (Xue et al, 2012;Noda et al, 2018). Optimizing the presentation of any given region calls for a developed online atlas through where alterations could be made according to the viewer's This may be avoided by using a higher field strength MR scanner or utilizing prolonged image acquisition times (Westbrook & Talbot, 2018).…”
Section: Discussionmentioning
confidence: 99%