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Objective assessment of image quality and dose reduction in CT iterative reconstruction
Ist Teil von
Medical physics (Lancaster), 2014-07, Vol.41 (7), p.071904-n/a
Ort / Verlag
United States: American Association of Physicists in Medicine
Erscheinungsjahr
2014
Quelle
MEDLINE
Beschreibungen/Notizen
Purpose:
Iterative reconstruction (IR) algorithms have the potential to reduce radiation
dose in
CT diagnostic
imaging. As these algorithms become available on the market, a
standardizable method of quantifying the dose reduction that a particular IR method can achieve
would be valuable. Such a method would assist manufacturers in making promotional claims
about dose
reduction, buyers in comparing different devices, physicists in independently validating
the claims, and the United States Food and Drug Administration in regulating the
labeling of CT
devices. However, the nonlinear nature of commercially available IR algorithms poses
challenges to objectively assessing image quality, a necessary step in
establishing the amount of dose reduction that a given IR algorithm can achieve without
compromising that image quality. This review paper seeks to consolidate information
relevant to objectively assessing the quality of CT IR images, and
thereby measuring the level of dose reduction that a given IR algorithm can achieve.
Methods:
The authors discuss task-based methods for assessing the quality of CT IR images and
evaluating dose
reduction.
Results:
The authors explain and review recent literature on signal detection and localization
tasks in CT IR
image quality
assessment, the design of an appropriate phantom for these tasks,
possible choices of observers (including human and model observers), and methods of
evaluating observer performance.
Conclusions:
Standardizing the measurement of dose reduction is a problem of broad interest to the
CT community
and to public health. A necessary step in the process is the objective assessment of
CT
image quality, for which various task-based methods may be suitable.
This paper attempts to consolidate recent literature that is relevant to the development
and implementation of task-based methods for the assessment of CT IR image
quality.