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Modeling the Circle of Willis Using Electrical Analogy Method under both Normal and Pathological Circumstances
Background and objective: The circle of Willis (COW) supports adequate blood supply to the brain. The cardiovascular system, in the current study, is modeled using an equivalent electronic system focusing on the COW. Methods: In our previous study we used 42 compartments to model whole cardiovascula...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shiraz University of Medical Sciences
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204494/ https://www.ncbi.nlm.nih.gov/pubmed/25505747 |
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author | Abdi, Mohsen Karimi, Alireza Navidbakhsh, Mahdi Rahmati, Mohammadali Hassani, Kamran Razmkon, Ali |
author_facet | Abdi, Mohsen Karimi, Alireza Navidbakhsh, Mahdi Rahmati, Mohammadali Hassani, Kamran Razmkon, Ali |
author_sort | Abdi, Mohsen |
collection | PubMed |
description | Background and objective: The circle of Willis (COW) supports adequate blood supply to the brain. The cardiovascular system, in the current study, is modeled using an equivalent electronic system focusing on the COW. Methods: In our previous study we used 42 compartments to model whole cardiovascular system. In the current study, nevertheless, we extended our model by using 63 compartments to model whole CS. Each cardiovascular artery is modeled using electrical elements, including resistor, capacitor, and inductor. The MATLAB Simulink software is used to obtain the left and right ventricles pressure as well as pressure distribution at efferent arteries of the circle of Willis. Firstly, the normal operation of the system is shown and then the stenosis of cerebral arteries is induced in the circuit and, consequently, the effects are studied. Results: In the normal condition, the difference between pressure distribution of right and left efferent arteries (left and right ACA–A2, left and right MCA, left and right PCA–P2) is calculated to indicate the effect of anatomical difference between left and right sides of supplying arteries of the COW. In stenosis cases, the effect of internal carotid artery occlusion on efferent arteries pressure is investigated. The modeling results are verified by comparing to the clinical observation reported in the literature. Conclusion: We believe the presented model is a useful tool for representing the normal operation of the cardiovascular system and study of the pathologies. |
format | Online Article Text |
id | pubmed-4204494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Shiraz University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-42044942014-12-10 Modeling the Circle of Willis Using Electrical Analogy Method under both Normal and Pathological Circumstances Abdi, Mohsen Karimi, Alireza Navidbakhsh, Mahdi Rahmati, Mohammadali Hassani, Kamran Razmkon, Ali J Biomed Phys Eng Original Article Background and objective: The circle of Willis (COW) supports adequate blood supply to the brain. The cardiovascular system, in the current study, is modeled using an equivalent electronic system focusing on the COW. Methods: In our previous study we used 42 compartments to model whole cardiovascular system. In the current study, nevertheless, we extended our model by using 63 compartments to model whole CS. Each cardiovascular artery is modeled using electrical elements, including resistor, capacitor, and inductor. The MATLAB Simulink software is used to obtain the left and right ventricles pressure as well as pressure distribution at efferent arteries of the circle of Willis. Firstly, the normal operation of the system is shown and then the stenosis of cerebral arteries is induced in the circuit and, consequently, the effects are studied. Results: In the normal condition, the difference between pressure distribution of right and left efferent arteries (left and right ACA–A2, left and right MCA, left and right PCA–P2) is calculated to indicate the effect of anatomical difference between left and right sides of supplying arteries of the COW. In stenosis cases, the effect of internal carotid artery occlusion on efferent arteries pressure is investigated. The modeling results are verified by comparing to the clinical observation reported in the literature. Conclusion: We believe the presented model is a useful tool for representing the normal operation of the cardiovascular system and study of the pathologies. Shiraz University of Medical Sciences 2013-06-01 /pmc/articles/PMC4204494/ /pubmed/25505747 Text en © 2013: Journal of Biomedical Physics and Engineering This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 Unported License (http://creativecommons.org/licenses/by-nc/3.0/deed.en_US), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Abdi, Mohsen Karimi, Alireza Navidbakhsh, Mahdi Rahmati, Mohammadali Hassani, Kamran Razmkon, Ali Modeling the Circle of Willis Using Electrical Analogy Method under both Normal and Pathological Circumstances |
title | Modeling the Circle of Willis Using Electrical Analogy Method under both Normal and Pathological Circumstances |
title_full | Modeling the Circle of Willis Using Electrical Analogy Method under both Normal and Pathological Circumstances |
title_fullStr | Modeling the Circle of Willis Using Electrical Analogy Method under both Normal and Pathological Circumstances |
title_full_unstemmed | Modeling the Circle of Willis Using Electrical Analogy Method under both Normal and Pathological Circumstances |
title_short | Modeling the Circle of Willis Using Electrical Analogy Method under both Normal and Pathological Circumstances |
title_sort | modeling the circle of willis using electrical analogy method under both normal and pathological circumstances |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204494/ https://www.ncbi.nlm.nih.gov/pubmed/25505747 |
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