Abstract
Assessment of blood vessels is current task in the field of clinical angiography. Calcification spots are usually observable well from native CT angiography records nevertheless, it is absence of methods precisely calculating calcium score (CS) serving as indicator of blood vessel deterioration by calcification process. The paper deals with the segmentation method for segmentation, extraction and differentiation of vascular calcifications based on the multilevel Otsu thresholding. The method generates mathematical model of physiological and calcification part of blood vessels and, it consequently allows for CS calculation as calcified blood vessel to physiological ratio. We performed analysis of blood vessels modeling and CS calculation on the base of wide dataset 90 patient’s records. We compared our CS results with three independent clinical experts. On the base of this comparative analysis, we propose estimated intervals for CS serving for objective analysis of this vascular parameter in the dependence of a calcification level. The main clinically applicable result is SW VesselsCalc application for complex analysis of blood vessels, modeling of calcification areas and calculation of calcium score.
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Acknowledgment
This article has been supported by financial support of TA ČR, PRE SEED Fund of VSB-Technical univerzity of Ostrava/TG01010137. The work and the contributions were supported by the project SV4506631/2101 ‘Biomedicínské inženýrské systémy XII’.
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Kubicek, J. et al. (2017). Segmentation of Vascular Calcifications and Statistical Analysis of Calcium Score. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10192. Springer, Cham. https://doi.org/10.1007/978-3-319-54430-4_44
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DOI: https://doi.org/10.1007/978-3-319-54430-4_44
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