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Numerical Method for Geometrical Feature Extraction and Identification of Patient-Specific Aorta Models in Pediatric Congenital Heart Disease

Author

Listed:
  • Alex G. Kuchumov

    (Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, Russia
    Department of Computational Mathematics, Mechanics and Biomechanics, Perm National Research Polytechnic University, Perm 614990, Russia)

  • Olga V. Doroshenko

    (Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, Russia)

  • Mikhail V. Golub

    (Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, Russia)

  • Nikita D. Saychenko

    (Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, Russia)

  • Irina O. Rakisheva

    (Department of Computational Mathematics, Mechanics and Biomechanics, Perm National Research Polytechnic University, Perm 614990, Russia)

  • Roman M. Shekhmametyev

    (S.G. Sukhanov Federal Center for Cardiovascular Surgery, Perm 614013, Russia)

Abstract

An algorithm providing information on the key geometric features of an aorta extracted from multi-slice computed tomography images is proposed. Using the numerical method, the aorta’s geometric characteristics, such as vessel cross-sectional areas and diameters, as well as distances between arteries, can be determined. This step is crucial for training the meta-model necessary to construct an expert system with a significantly reduced volume of data and for identifying key relationships between diagnoses and geometric and hydrodynamic features. This methodology is expected to be part of an innovative decision-making software product for clinical implementation. Based on clinical and anamnestic data as well as calculations, the software will provide the shunt parameters (in particular, its diameter) and installation position to ensure regular blood flow.

Suggested Citation

  • Alex G. Kuchumov & Olga V. Doroshenko & Mikhail V. Golub & Nikita D. Saychenko & Irina O. Rakisheva & Roman M. Shekhmametyev, 2023. "Numerical Method for Geometrical Feature Extraction and Identification of Patient-Specific Aorta Models in Pediatric Congenital Heart Disease," Mathematics, MDPI, vol. 11(13), pages 1-13, June.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:13:p:2871-:d:1180180
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    References listed on IDEAS

    as
    1. Nikita Pil & Alex G. Kuchumov & Bakytbek Kadyraliev & Vagram Arutunyan, 2023. "Influence of Aortic Valve Leaflet Material Model on Hemodynamic Features in Healthy and Pathological States," Mathematics, MDPI, vol. 11(2), pages 1-19, January.
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