Numerical Method for Geometrical Feature Extraction and Identification of Patient-Specific Aorta Models in Pediatric Congenital Heart Disease
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...
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| Format: | Article |
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MDPI AG
2023-06-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/13/2871 |
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| author | Alex G. Kuchumov Olga V. Doroshenko Mikhail V. Golub Nikita D. Saychenko Irina O. Rakisheva Roman M. Shekhmametyev |
| author_facet | Alex G. Kuchumov Olga V. Doroshenko Mikhail V. Golub Nikita D. Saychenko Irina O. Rakisheva Roman M. Shekhmametyev |
| author_sort | Alex G. Kuchumov |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T01:35:20Z |
| format | Article |
| id | doaj.art-8b3ebbf25ef746afa36c48523fd4cc7e |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T01:35:20Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-8b3ebbf25ef746afa36c48523fd4cc7e2023-11-18T17:02:33ZengMDPI AGMathematics2227-73902023-06-011113287110.3390/math11132871Numerical Method for Geometrical Feature Extraction and Identification of Patient-Specific Aorta Models in Pediatric Congenital Heart DiseaseAlex G. Kuchumov0Olga V. Doroshenko1Mikhail V. Golub2Nikita D. Saychenko3Irina O. Rakisheva4Roman M. Shekhmametyev5Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, RussiaInstitute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, RussiaInstitute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, RussiaInstitute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar 350040, RussiaDepartment of Computational Mathematics, Mechanics and Biomechanics, Perm National Research Polytechnic University, Perm 614990, RussiaS.G. Sukhanov Federal Center for Cardiovascular Surgery, Perm 614013, RussiaAn 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.https://www.mdpi.com/2227-7390/11/13/2871numerical methodgeometric featuresbiomechanical featuresimage segmentationaortainfant cardiovascular surgery |
| spellingShingle | Alex G. Kuchumov Olga V. Doroshenko Mikhail V. Golub Nikita D. Saychenko Irina O. Rakisheva Roman M. Shekhmametyev Numerical Method for Geometrical Feature Extraction and Identification of Patient-Specific Aorta Models in Pediatric Congenital Heart Disease Mathematics numerical method geometric features biomechanical features image segmentation aorta infant cardiovascular surgery |
| title | Numerical Method for Geometrical Feature Extraction and Identification of Patient-Specific Aorta Models in Pediatric Congenital Heart Disease |
| title_full | Numerical Method for Geometrical Feature Extraction and Identification of Patient-Specific Aorta Models in Pediatric Congenital Heart Disease |
| title_fullStr | Numerical Method for Geometrical Feature Extraction and Identification of Patient-Specific Aorta Models in Pediatric Congenital Heart Disease |
| title_full_unstemmed | Numerical Method for Geometrical Feature Extraction and Identification of Patient-Specific Aorta Models in Pediatric Congenital Heart Disease |
| title_short | Numerical Method for Geometrical Feature Extraction and Identification of Patient-Specific Aorta Models in Pediatric Congenital Heart Disease |
| title_sort | numerical method for geometrical feature extraction and identification of patient specific aorta models in pediatric congenital heart disease |
| topic | numerical method geometric features biomechanical features image segmentation aorta infant cardiovascular surgery |
| url | https://www.mdpi.com/2227-7390/11/13/2871 |
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