2013•Expert Review of Cardiovascular TherapyRequires access

Iterative image reconstruction: a realistic dose-saving method in cardiac CT imaging?

Matthias Renker, Lucas L. Geyer, Aleksander W. Krazinski, Justin R. Silverman, Ullrich Ebersberger, Uwe Joseph Schoepf

Open publisher page 23 citations

Abstract

Iterative techniques are a valuable computed tomography image reconstruction alternative to filtered back projection. In repetitive cycles, iterative algorithms reduce image noise virtually independently of spatial resolution. In light of substantially decreased image noise, tube voltage or current reductions are enabled, resulting in significant radiation dose savings while preserving image quality. Moreover, iterative reconstruction techniques have the advantage of minimizing calcium blooming and metal artifacts. Iterative reconstruction may therefore lead to more exact coronary artery evaluation at constant x-ray tube settings and appears beneficial in clinically challenging scenarios such as overly obese patients, calcified coronary arteries and presence of iatrogenic hardware. For cardiac computed tomography, iterative reconstruction represents a promising and readily available tool.

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What this paper is about

Iterative techniques are a valuable computed tomography image reconstruction alternative to filtered back projection. In repetitive cycles, iterative algorithms reduce image noise virtually independently of spatial resolution. In light of substantially decreased image noise, tube voltage or current reductions are enabled, resulting in significant radiation dose savings while preserving image quality. Moreover, iterative reconstruction techniques have the advantage of minimizing calcium blooming and metal artifacts. Iterative reconstruction may therefore lead to more exact coronary artery evaluation at constant x-ray tube settings and appears beneficial in clinically challenging scenarios such as overly obese patients, calcified coronary arteries and presence of iatrogenic hardware. For cardiac computed tomography, iterative reconstruction represents a promising and readily available tool.

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OpenAlex reports 23 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Iterative techniques are a valuable computed tomography image reconstruction alternative to filtered back projection. In repetitive cycles, iterative algorithms reduce image noise virtually independently of spatial resolution. In light of substantially decreased image noise, tube voltage or current reductions are enabled, resulting in significant radiation dose savings while preserving image quality. Moreover, iterative reconstruction techniques have the advantage of minimizing calcium blooming and metal artifacts. Iterative reconstruction may therefore lead to more exact coronary artery evaluation at constant x-ray tube settings and appears beneficial in clinically challenging scenarios such as overly obese patients, calcified coronary arteries and presence of iatrogenic hardware. For cardiac computed tomography, iterative reconstruction represents a promising and readily available tool.

Key concepts: Medicine, Iterative reconstruction, Image noise, Image quality, Coronary artery calcium, Noise (video), Image resolution, Radiology

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