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

doi:10.2214/AJR.09.2953

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

Diagnostic Radiology

Research output: Contribution to journal › Review article › peer-review

456 Scopus citations

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 language	English (US)
Pages (from-to)	191-199
Number of pages	9
Journal	American Journal of Roentgenology
Volume	194
Issue number	1
DOIs	https://doi.org/10.2214/AJR.09.2953
State	Published - Jan 2010

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

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10.2214/AJR.09.2953

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title = "Innovations in CT dose reduction strategy: Application of the adaptive statistical iterative reconstruction algorithm",

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.",

keywords = "Adaptive statistical iterative reconstruction (ASIR), Filtered back projection, Iterative reconstruction algorithm, Low-dose CT, Radiation reduction",

author = "Silva, {Alvin C.} and Lawder, {Holly J.} and Amy Hara and Jennifer Kujak and William Pavlicek",

year = "2010",

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T1 - Innovations in CT dose reduction strategy

T2 - Application of the adaptive statistical iterative reconstruction algorithm

AU - Silva, Alvin C.

AU - Lawder, Holly J.

AU - Hara, Amy

AU - Kujak, Jennifer

AU - Pavlicek, William

PY - 2010/1

Y1 - 2010/1

N2 - 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.

AB - 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.

KW - Adaptive statistical iterative reconstruction (ASIR)

KW - Filtered back projection

KW - Iterative reconstruction algorithm

KW - Low-dose CT

KW - Radiation reduction

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M3 - Review article

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JO - American Journal of Roentgenology

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

Abstract

Keywords

ASJC Scopus subject areas

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