Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomography

Jurica Šprem; Bob D. de Vos; Nikolas Lessmann; Pim A. de Jong; Max A. Viergever; Ivana Išgum

doi:10.1117/1.JMI.5.4.044007

11 December 2018 Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomography

Jurica Šprem, Bob D. de Vos, Nikolas Lessmann, Pim A. de Jong, Max A. Viergever, Ivana Išgum

Author Affiliations +

Funded by: Dutch Technology Foundation

Journal of Medical Imaging, Vol. 5, Issue 4, 044007 (December 2018). https://doi.org/10.1117/1.JMI.5.4.044007

Abstract

The amount of coronary artery calcification (CAC) quantified in computed tomography (CT) scans enables prediction of cardiovascular disease (CVD) risk. However, interscan variability of CAC quantification is high, especially in scans made without ECG synchronization. We propose a method for automatic detection of CACs that are severely affected by cardiac motion. Subsequently, we evaluate the impact of such CACs on CAC quantification and CVD risk determination. This study includes 1000 baseline and 585 one-year follow-up low-dose chest CTs from the National Lung Screening Trial. About 415 baseline scans are used to train and evaluate a convolutional neural network that identifies observer determined CACs affected by severe motion artifacts. Therefore, 585 paired scans acquired at baseline and follow-up were used to evaluate the impact of severe motion artifacts on CAC quantification and risk categorization. Based on the CAC amount, the scans were categorized into four standard CVD risk categories. The method identified CACs affected by severe motion artifacts with 85.2% accuracy. Moreover, reproducibility of CAC scores in scan pairs is higher in scans containing mostly CACs not affected by severe cardiac motion. Hence, the proposed method enables identification of scans affected by severe cardiac motion, where CAC quantification may not be reproducible.

Citation Download Citation

Jurica Šprem, Bob D. de Vos, Nikolas Lessmann, Pim A. de Jong, Max A. Viergever, and Ivana Išgum "Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomography," Journal of Medical Imaging 5(4), 044007 (11 December 2018). https://doi.org/10.1117/1.JMI.5.4.044007

Received: 14 June 2018; Accepted: 16 November 2018; Published: 11 December 2018

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