2021
DOI: 10.1016/j.ejrad.2021.109537
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Radiation dose reduction, improved isocenter accuracy and CT scan time savings with automatic patient positioning by a 3D camera

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Cited by 20 publications
(22 citation statements)
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“…Improved positioning accuracy could also be achieved through the installation of automated patient positioning tools, such as 3D cameras. 25 However, in the absence of these key interventions, the authors recommend acquisition using a 0° localiser to reduce any increase in the total organ doses resultant from patient off‐centring. This recommendation is based on previous retrospective studies, reporting a trend to misposition patients below the gantry iso‐centre and the current experimental findings.…”
Section: Discussionmentioning
confidence: 99%
“…Improved positioning accuracy could also be achieved through the installation of automated patient positioning tools, such as 3D cameras. 25 However, in the absence of these key interventions, the authors recommend acquisition using a 0° localiser to reduce any increase in the total organ doses resultant from patient off‐centring. This recommendation is based on previous retrospective studies, reporting a trend to misposition patients below the gantry iso‐centre and the current experimental findings.…”
Section: Discussionmentioning
confidence: 99%
“…The effect of improper patient positioning on radiation dose and image quality was not investigated in this paper, since the influence of off-centering patients in a CT scanner on IQ and radiation dose has been extensively described in several publications [2,12,13] and one also on dose saving with the aid of a 3D camera equivalent to the one described in this study [14]. For instance, Monte Carlo simulations in a phantom study resulted in relative organ dose differences of the lungs and heart between 5 and 12% when a patient was positioned 10-20 mm off-center [3].…”
Section: Discussionmentioning
confidence: 99%
“…Use of camera-assisted patient positioning/isocentre for CT scanning 15 , determining scan range 16 , and virtual MRI cockpits could mean that for high volume low-complexity or routine imaging with patients who have previously undergone imaging that the entire episode of care could be delivered remotely/autonomously in the not-too-distant future. Further examples of AI contribution to practice include the automation of image post processing and dose optimisation 17 .…”
Section: Radiography Practice Applicationsmentioning
confidence: 99%