Hybrid iterative reconstruction algorithm in brain CT: a radiation dose reduction and image quality assessment study.

Askell Löve; Roger Siemund; Peter Höglund; Danielle van Westen; Lars Stenberg; Cecilia Petersen; Isabella Björkman-Burtscher

doi:10.1177/0284185113494980

Hybrid iterative reconstruction algorithm in brain CT: a radiation dose reduction and image quality assessment study.

Askell Löve, Roger Siemund, Peter Höglund, Danielle van Westen, Lars Stenberg, Cecilia Petersen, Isabella Björkman-Burtscher

Research output: Contribution to journal › Article › peer-review

Abstract

Iterative reconstruction (IR) algorithms improve image quality and allow for radiation dose reduction in CT. Dose reduction is particularly challenging in brain CT where good low-contrast resolution is essential. Ideally, evaluation of image quality combines objective measurements and subjective assessment of clinically relevant quality criteria. Subjective assessment is associated with various pitfalls and biases.

Original language	English
Journal	Acta radiologica (Stockholm, Sweden : 1987)
Early online date	2013 Jul 29
DOIs	https://doi.org/10.1177/0284185113494980
Publication status	Published - 2013

Subject classification (UKÄ)

Radiology, Nuclear Medicine and Medical Imaging

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10.1177/0284185113494980

http://www.ncbi.nlm.nih.gov/pubmed/23897306?dopt=Abstract

1 Doctoral Thesis (compilation)

Optimization of image quality and radiation dose in neuroradiological computed tomography
Löve, A., 2013, Diagnostic Radiology, (Lund), Lund University. 98 p.
Research output: Thesis › Doctoral Thesis (compilation)

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title = "Hybrid iterative reconstruction algorithm in brain CT: a radiation dose reduction and image quality assessment study.",

abstract = "Iterative reconstruction (IR) algorithms improve image quality and allow for radiation dose reduction in CT. Dose reduction is particularly challenging in brain CT where good low-contrast resolution is essential. Ideally, evaluation of image quality combines objective measurements and subjective assessment of clinically relevant quality criteria. Subjective assessment is associated with various pitfalls and biases.",

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AU - Löve, Askell

AU - Siemund, Roger

AU - Höglund, Peter

AU - van Westen, Danielle

AU - Stenberg, Lars

AU - Petersen, Cecilia

AU - Björkman-Burtscher, Isabella

PY - 2013

Y1 - 2013

N2 - Iterative reconstruction (IR) algorithms improve image quality and allow for radiation dose reduction in CT. Dose reduction is particularly challenging in brain CT where good low-contrast resolution is essential. Ideally, evaluation of image quality combines objective measurements and subjective assessment of clinically relevant quality criteria. Subjective assessment is associated with various pitfalls and biases.

AB - Iterative reconstruction (IR) algorithms improve image quality and allow for radiation dose reduction in CT. Dose reduction is particularly challenging in brain CT where good low-contrast resolution is essential. Ideally, evaluation of image quality combines objective measurements and subjective assessment of clinically relevant quality criteria. Subjective assessment is associated with various pitfalls and biases.

U2 - 10.1177/0284185113494980

DO - 10.1177/0284185113494980

M3 - Article

C2 - 23897306

SN - 1600-0455

JO - Acta radiologica (Stockholm, Sweden : 1987)

JF - Acta radiologica (Stockholm, Sweden : 1987)

ER -

Hybrid iterative reconstruction algorithm in brain CT: a radiation dose reduction and image quality assessment study.

Abstract

Subject classification (UKÄ)

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Research output

Optimization of image quality and radiation dose in neuroradiological computed tomography

Cite this