2013
DOI: 10.2214/ajr.13.10701
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Hybrid Iterative Reconstruction Algorithm Improves Image Quality in Craniocervical CT Angiography

Abstract: The iterative reconstruction algorithm significantly improves image quality in craniocervical CT, especially at the thoracic inlet. Despite careful study design, considerable interobserver and intraobserver variability was noted.

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Cited by 12 publications
(7 citation statements)
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“…11.35 ± 0.83), we found that a 55% reduction in the radiation dose and lower CT attenuation of vessels can be achieved by using 100 kVp and 225 mAs, Askell Love et al also stated that lower attenuation and radiation dose can be achieved using lower kVp and mAs [18]. When combined with HIR algorithm, the improved imaging of head and neck arteries were sufficient for clinical diagnosis.…”
Section: Discussionmentioning
confidence: 51%
“…11.35 ± 0.83), we found that a 55% reduction in the radiation dose and lower CT attenuation of vessels can be achieved by using 100 kVp and 225 mAs, Askell Love et al also stated that lower attenuation and radiation dose can be achieved using lower kVp and mAs [18]. When combined with HIR algorithm, the improved imaging of head and neck arteries were sufficient for clinical diagnosis.…”
Section: Discussionmentioning
confidence: 51%
“…This indicates that factors other than image quality influence diagnostic accuracy, e.g. localization and size of aneurysm, early filling of adjacent veins, and different image assessment biases (15,26).…”
Section: Discussionmentioning
confidence: 99%
“…These hybrid iterative reconstruction (HIR) algorithms offer better image quality and have been used as clinical routine reconstruction methods. [ 4 6 ]…”
Section: Introductionmentioning
confidence: 99%