2021
DOI: 10.1016/j.radphyschem.2020.108996
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Patient radiation dose reduction using a commercial iterative reconstruction technique package

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Cited by 25 publications
(4 citation statements)
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“…However, it appears likely that CT automatic exposure controls based upon BMI over-expose patients to radiation. These automated adjustments made by the CT software may be able to be significantly improved by basing adjustments on minimum radiation dosages ( Cho et al, 2018 ), by adjustments based on patient girth at the location of imaging ( Glanc et al, 2012 ), or by improved reconstruction techniques ( Sulieman et al, 2021 ).…”
Section: Discussionmentioning
confidence: 99%
“…However, it appears likely that CT automatic exposure controls based upon BMI over-expose patients to radiation. These automated adjustments made by the CT software may be able to be significantly improved by basing adjustments on minimum radiation dosages ( Cho et al, 2018 ), by adjustments based on patient girth at the location of imaging ( Glanc et al, 2012 ), or by improved reconstruction techniques ( Sulieman et al, 2021 ).…”
Section: Discussionmentioning
confidence: 99%
“… Use iterative reconstruction methods that are more noise tolerant than traditional filtered back projection. The dose reduction can be significant, in one study showing 48% dose reduction without loss of image quality [ 42 ]. Adjust scanning pitch as needed .…”
Section: Reducing Risk Of Radiation To the Unborn Childmentioning
confidence: 99%
“…Assessment of low dose protocol using iterative reconstruction (IR) algorithm in abdominal CT examination showed that radiation dose was reduced up to 48% without affecting the image quality [25]. Comparison between deep learning image reconstruction (DLIR) algorithm, the latest introduced complex reconstruction algorithm, and hybrid iterative reconstruction (IR) algorithm to evaluate dose reduction while improving image quality revealed that potential of dose optimization in DLIR algorithm is more than hybrid IR algorithm, and image noise, detectability without changing the noise texture, and spatial resolution in acquired image by DLIR algorithm improved compared to hybrid IR algorithm [26].…”
Section: E Reconstruction Algorithmmentioning
confidence: 99%