OBJECTIVE: This article discusses the clinical challenge of low-radiation-dose examinations, the commonly used approaches for dose optimization, and their effect on image quality. We emphasize practical aspects of the different iterative reconstruction techniques, along with their benefits, pitfalls, and clinical implementation. CONCLUSION: The widespread use of CT has raised concerns about potential radiation risks, motivating diverse strategies to reduce the radiation dose associated with CT. CT manufacturers have developed alternative reconstruction algorithms intended to improve image quality on dose-optimized CT studies, mainly through noise and artifact reduction. Iterative reconstruction techniques take unique approaches to noise reduction and provide distinct strength levels or settings.
OBJECTIVE: This article discusses the clinical challenge of low-radiation-dose examinations, the commonly used approaches for dose optimization, and their effect on image quality. We emphasize practical aspects of the different iterative reconstruction techniques, along with their benefits, pitfalls, and clinical implementation. CONCLUSION: The widespread use of CT has raised concerns about potential radiation risks, motivating diverse strategies to reduce the radiation dose associated with CT. CT manufacturers have developed alternative reconstruction algorithms intended to improve image quality on dose-optimized CT studies, mainly through noise and artifact reduction. Iterative reconstruction techniques take unique approaches to noise reduction and provide distinct strength levels or settings.
Authors: Thorsten Sellerer; Peter B Noël; Manuel Patino; Anushri Parakh; Sebastian Ehn; Sascha Zeiter; Jasmin A Holz; Johannes Hammel; Alexander A Fingerle; Franz Pfeiffer; David Maintz; Ernst J Rummeny; Daniela Muenzel; Dushyant V Sahani Journal: Eur Radiol Date: 2018-02-05 Impact factor: 5.315
Authors: B Dustin Pooler; Meghan G Lubner; David H Kim; Oliver T Chen; Ke Li; Guang-Hong Chen; Perry J Pickhardt Journal: Eur Radiol Date: 2016-09-05 Impact factor: 5.315