Literature DB >> 19994518

A model for quantitative correction of coronary calcium scores on multidetector, dual source, and electron beam computed tomography for influences of linear motion, calcification density, and temporal resolution: a cardiac phantom study.

M J W Greuter1, J M Groen, L J Nicolai, H Dijkstra, M Oudkerk.   

Abstract

PURPOSE: The objective of this study is to quantify the influence of linear motion, calcification density, and temporal resolution on coronary calcium determination using multidetector computed tomography (MDCT), dual source CT (DSCT), and electron beam tomography (EBT) and to find a quantitative method which corrects for the influences of these parameters using a linear moving cardiac phantom.
METHODS: On a robotic arm with artificial arteries with four calcifications of increasing density, a linear movement was applied between 0 and 120 mm/s (step of 10 mm/s). The phantom was scanned five times on 64-slice MDCT, DSCT, and EBT using a standard acquisition protocol. The average Agatston, volume, and mass scores were determined for each velocity, calcification, and scanner. Susceptibility to motion was quantified using a cardiac motion susceptibility (CMS) index. Resemblance to EBT and physical volume and mass was quantified using a Delta index.
RESULTS: Increasing motion artifacts were observed at increasing velocities on all scanners, with increasing severity from EBT to DSCT to 64-slice MDCT. The calcium score showed a linear dependency on motion from which a correction factor could be derived. This correction factor showed a linear dependency on the mean calcification density with a good fit for all three scoring methods and all three scanners (0.73 < or = R2 < or = 0.95). The slope and offset of this correction factor showed a linear dependency on temporal resolution with a good fit for all three scoring methods and all three scanners (0.83 < or = R2 < or = 0.98). CMS was minimal for EBT and increasing values were observed for DSCT and highest values for 64-slice MDCT. CMS was minimal for mass score and increasing values were observed for volume score and highest values for Agatston score. For all densities and scoring methods DSCT showed on average the closest resemblance to EBT calcium scores. When using the correction factor, CMS index decreased on average by 15% and Delta index decreased by 35%.
CONCLUSIONS: Calcium scores determined on DSCT and 64-slice MDCT are highly susceptible to motion as compared to EBT. The mass score is less susceptible to motion compared to volume and Agatston score. Calcium scores determined on DSCT bear a closer resemblance to EBT obtained calcium scores than 64-slice MDCT. In addition, the calcium score is highly dependent on the average density of individual calcifications and the dependency of the calcium score on motion showed a linear behavior on calcification density. From these relations, a quantitative method could be derived which corrects the measured calcium score for the influence of linear motion, mean calcification density, and temporal resolution.

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Year:  2009        PMID: 19994518     DOI: 10.1118/1.3213536

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  8 in total

1.  Computerized method for evaluating diagnostic image quality of calcified plaque images in cardiac CT: validation on a physical dynamic cardiac phantom.

Authors:  Martin King; Zachary Rodgers; Maryellen L Giger; Dianna M E Bardo; Amit R Patel
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

2.  Coronary calcium screening with dual-source CT: reliability of ungated, high-pitch chest CT in comparison with dedicated calcium-scoring CT.

Authors:  Antoine Hutt; Alain Duhamel; Valérie Deken; Jean-Baptiste Faivre; Francesco Molinari; Jacques Remy; Martine Remy-Jardin
Journal:  Eur Radiol       Date:  2015-09-04       Impact factor: 5.315

3.  Influence of iterative reconstruction on coronary calcium scores at multiple heart rates: a multivendor phantom study on state-of-the-art CT systems.

Authors:  N R van der Werf; M J Willemink; T P Willems; M J W Greuter; T Leiner
Journal:  Int J Cardiovasc Imaging       Date:  2017-12-28       Impact factor: 2.357

4.  Influence of heart rate on coronary calcium scores: a multi-manufacturer phantom study.

Authors:  N R van der Werf; M J Willemink; T P Willems; R Vliegenthart; M J W Greuter; T Leiner
Journal:  Int J Cardiovasc Imaging       Date:  2017-12-28       Impact factor: 2.357

5.  Motion-corrected coronary calcium scores by a convolutional neural network: a robotic simulating study.

Authors:  Yaping Zhang; Niels R van der Werf; Beibei Jiang; Robbert van Hamersvelt; Marcel J W Greuter; Xueqian Xie
Journal:  Eur Radiol       Date:  2019-10-18       Impact factor: 5.315

Review 6.  Role of computed tomography screening for detection of coronary artery disease.

Authors:  Donghee Han; Ji Hyun Lee; Bríain Ó Hartaigh; James K Min
Journal:  Clin Imaging       Date:  2015-07-16       Impact factor: 1.605

7.  Influence of dose reduction and iterative reconstruction on CT calcium scores: a multi-manufacturer dynamic phantom study.

Authors:  N R van der Werf; M J Willemink; T P Willems; M J W Greuter; T Leiner
Journal:  Int J Cardiovasc Imaging       Date:  2017-01-19       Impact factor: 2.357

8.  Classification of moving coronary calcified plaques based on motion artifacts using convolutional neural networks: a robotic simulating study on influential factors.

Authors:  Magdalena Dobrolińska; Niels van der Werf; Marcel Greuter; Beibei Jiang; Riemer Slart; Xueqian Xie
Journal:  BMC Med Imaging       Date:  2021-10-19       Impact factor: 1.930

  8 in total

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