Achieving routine submillisievert CT scanning: report from the summit on management of radiation dose in CT.


Journal Article

This Special Report presents the consensus of the Summit on Management of Radiation Dose in Computed Tomography (CT) (held in February 2011), which brought together participants from academia, clinical practice, industry, and regulatory and funding agencies to identify the steps required to reduce the effective dose from routine CT examinations to less than 1 mSv. The most promising technologies and methods discussed at the summit include innovations and developments in x-ray sources; detectors; and image reconstruction, noise reduction, and postprocessing algorithms. Access to raw projection data and standard data sets for algorithm validation and optimization is a clear need, as is the need for new, clinically relevant metrics of image quality and diagnostic performance. Current commercially available techniques such as automatic exposure control, optimization of tube potential, beam-shaping filters, and dynamic z-axis collimators are important, and education to successfully implement these methods routinely is critically needed. Other methods that are just becoming widely available, such as iterative reconstruction, noise reduction, and postprocessing algorithms, will also have an important role. Together, these existing techniques can reduce dose by a factor of two to four. Technical advances that show considerable promise for additional dose reduction but are several years or more from commercial availability include compressed sensing, volume of interest and interior tomography techniques, and photon-counting detectors. This report offers a strategic roadmap for the CT user and research and manufacturer communities toward routinely achieving effective doses of less than 1 mSv, which is well below the average annual dose from naturally occurring sources of radiation.

Full Text

Duke Authors

Cited Authors

  • McCollough, CH; Chen, GH; Kalender, W; Leng, S; Samei, E; Taguchi, K; Wang, G; Yu, L; Pettigrew, RI

Published Date

  • August 2012

Published In

Volume / Issue

  • 264 / 2

Start / End Page

  • 567 - 580

PubMed ID

  • 22692035

Pubmed Central ID

  • 22692035

Electronic International Standard Serial Number (EISSN)

  • 1527-1315

Digital Object Identifier (DOI)

  • 10.1148/radiol.12112265


  • eng

Conference Location

  • United States