Innovations in CT dose reduction strategy: Application of the adaptive statistical iterative reconstruction algorithm

Alvin C Silva, Holly J. Lawder, Amy Hara, Jennifer Kujak, William Pavlicek

Research output: Contribution to journalArticle

436 Citations (Scopus)

Abstract

OBJECTIVE. The purpose of this article is to discuss the application of a new CT reconstruction algorithm, adaptive statistical iterative reconstruction (ASIR), to reduce radiation dose at body CT and to provide imaging examples in comparison with low-dose and standard-dose filtered back projection CT. CONCLUSION. The ASIR reconstruction algorithm is a promising technique for providing diagnostic quality CT images at significantly reduced radiation doses.

Original languageEnglish (US)
Pages (from-to)191-199
Number of pages9
JournalAmerican Journal of Roentgenology
Volume194
Issue number1
DOIs
StatePublished - Jan 2010

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Radiation

Keywords

  • Adaptive statistical iterative reconstruction (ASIR)
  • Filtered back projection
  • Iterative reconstruction algorithm
  • Low-dose CT
  • Radiation reduction

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Innovations in CT dose reduction strategy : Application of the adaptive statistical iterative reconstruction algorithm. / Silva, Alvin C; Lawder, Holly J.; Hara, Amy; Kujak, Jennifer; Pavlicek, William.

In: American Journal of Roentgenology, Vol. 194, No. 1, 01.2010, p. 191-199.

Research output: Contribution to journalArticle

Silva, Alvin C ; Lawder, Holly J. ; Hara, Amy ; Kujak, Jennifer ; Pavlicek, William. / Innovations in CT dose reduction strategy : Application of the adaptive statistical iterative reconstruction algorithm. In: American Journal of Roentgenology. 2010 ; Vol. 194, No. 1. pp. 191-199.
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