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The effect of iterative model reconstruction on coronary artery calcium quantification

Coronary artery calcium (CAC) scoring with computed tomography (CT) is an established tool for quantifying calcified atherosclerotic plaque burden. Despite the widespread use of novel image reconstruction techniques in CT, the effect of iterative model reconstruction on CAC score remains unclear. We...

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Bibliographic Details
Published in:International Journal of Cardiovascular Imaging 2016-01, Vol.32 (1), p.153-160
Main Authors: Szilveszter, Bálint, Elzomor, Hesham, Károlyi, Mihály, Kolossváry, Márton, Raaijmakers, Rolf, Benke, Kálmán, Celeng, Csilla, Bartykowszki, Andrea, Bagyura, Zsolt, Lux, Árpád, Merkely, Béla, Maurovich-Horvat, Pál
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Language:English
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Summary:Coronary artery calcium (CAC) scoring with computed tomography (CT) is an established tool for quantifying calcified atherosclerotic plaque burden. Despite the widespread use of novel image reconstruction techniques in CT, the effect of iterative model reconstruction on CAC score remains unclear. We sought to assess the impact of iterative model based reconstruction (IMR) on coronary artery calcium quantification as compared to the standard filtered back projection (FBP) algorithm and hybrid iterative reconstruction (HIR). In addition, we aimed to simulate the impact of iterative reconstruction techniques on calcium scoring based risk stratification of a larger asymptomatic population. We studied 63 individuals who underwent CAC scoring. Images were reconstructed with FBP, HIR and IMR and CAC scores were measured. We estimated the cardiovascular risk reclassification rate of IMR versus HIR and FBP in a larger asymptomatic population (n = 504). The median CAC scores were 147.7 (IQR 9.6–582.9), 107.0 (IQR 5.9–526.6) and 115.1 (IQR 9.3–508.3) for FBP, HIR and IMR, respectively. The HIR and IMR resulted in lower CAC scores as compared to FBP (both p  
ISSN:1569-5794
1573-0743
1875-8312
DOI:10.1007/s10554-015-0740-9