Simulation study of Hemodynamic in Bifurcations for Cerebral Arteriovenous Malformation using Electrical Analogy
Background and Objective: Cerebral Arteriovenous Malformation (CAVM) hemodynamic is disease condition, results changes in the flow and pressure level in cerebral blood vessels. Measuring flow and pressure without catheter intervention along the vessel is big challenge due to vessel bifurcations/comp...
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Shiraz University of Medical Sciences
2017-06-01
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doaj-dad09bbcdafa41a6b596f1bcb3c45d042020-11-24T21:30:53ZengShiraz University of Medical SciencesJournal of Biomedical Physics and Engineering2251-72002251-72002017-06-0172143154Simulation study of Hemodynamic in Bifurcations for Cerebral Arteriovenous Malformation using Electrical AnalogyKiran Kumar Y.0 Mehta S. B.1Ramachandra M.2Philips Research, Research Scholar, Manipal University, India Manipal University, IndiaManipal University, IndiaBackground and Objective: Cerebral Arteriovenous Malformation (CAVM) hemodynamic is disease condition, results changes in the flow and pressure level in cerebral blood vessels. Measuring flow and pressure without catheter intervention along the vessel is big challenge due to vessel bifurcations/complex bifurcations in Arteriovenous Malformation patients. The vessel geometry in CAVM patients are complex, composed of varying diameters, lengths, and bifurcations of various angles. The variations in the vessel diameter and bifurcation angle complicate the measurement and analysis of blood flow features invasively or non-invasively. Methods: In this paper, we proposed a lumped model for the bifurcation for symmetrical and asymmetrical networks in CAVM patients. The models are created using MATLAB Simulation software for various bifurcation angles. Each bifurcation angle created using electrical network- RLC. The segmentation and pre-processing of bifurcation vessels are implemented using adaptive segmentation. The proposed network address clinicians problem by measuring hemodynamic non-invasively. The method is applicable for any types of bifurcation networks with different bifurcation angles in CAVM patients. Results: In this work, we constructed a mathematical model, measured hemodynamic for 23 patients (actual and simulated cases) with 60 vessel bifurcation angles variations. The results indicate that comparisons evidenced highly significant correlations between values computed by the lumped model and simulated mechanical model for both networks with p < 0.0001. A P value of less than 0.05 considered statistically significant. Conclusion: In this paper, we have modelled different bifurcation types and automatically display pressure and flow non-invasively at different node and at different angles of bifurcation in the complex vessel with help of bifurcation parameters, using lumped parameter model. We have simulated for different bifurcation angles and diameters of vessel for various imaging modality and model extend for different organs. This will help clinicians to measure haemodynamic parameters noninvasively at various bifurcations, where even catheter cannot be reachedhttp://www.jbpe.org/Journal_OJS/JBPE/index.php/jbpe/article/view/438/340BifurcationAVMModellingLumped Parameter |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kiran Kumar Y. Mehta S. B. Ramachandra M. |
spellingShingle |
Kiran Kumar Y. Mehta S. B. Ramachandra M. Simulation study of Hemodynamic in Bifurcations for Cerebral Arteriovenous Malformation using Electrical Analogy Journal of Biomedical Physics and Engineering Bifurcation AVM Modelling Lumped Parameter |
author_facet |
Kiran Kumar Y. Mehta S. B. Ramachandra M. |
author_sort |
Kiran Kumar Y. |
title |
Simulation study of Hemodynamic in Bifurcations for Cerebral Arteriovenous Malformation using Electrical Analogy |
title_short |
Simulation study of Hemodynamic in Bifurcations for Cerebral Arteriovenous Malformation using Electrical Analogy |
title_full |
Simulation study of Hemodynamic in Bifurcations for Cerebral Arteriovenous Malformation using Electrical Analogy |
title_fullStr |
Simulation study of Hemodynamic in Bifurcations for Cerebral Arteriovenous Malformation using Electrical Analogy |
title_full_unstemmed |
Simulation study of Hemodynamic in Bifurcations for Cerebral Arteriovenous Malformation using Electrical Analogy |
title_sort |
simulation study of hemodynamic in bifurcations for cerebral arteriovenous malformation using electrical analogy |
publisher |
Shiraz University of Medical Sciences |
series |
Journal of Biomedical Physics and Engineering |
issn |
2251-7200 2251-7200 |
publishDate |
2017-06-01 |
description |
Background and Objective: Cerebral Arteriovenous Malformation (CAVM) hemodynamic is disease condition, results changes in the flow and pressure level in cerebral blood vessels. Measuring flow and pressure without catheter intervention along the vessel is big challenge due to vessel bifurcations/complex bifurcations in Arteriovenous Malformation patients. The vessel geometry in CAVM patients are complex, composed of varying diameters, lengths, and bifurcations of various angles. The variations in the vessel diameter and bifurcation angle complicate the measurement and analysis of blood flow features invasively or non-invasively. Methods: In this paper, we proposed a lumped model for the bifurcation for symmetrical and asymmetrical networks in CAVM patients. The models are created using MATLAB Simulation software for various bifurcation angles. Each bifurcation angle created using electrical network- RLC. The segmentation and pre-processing of bifurcation vessels are implemented using adaptive segmentation. The proposed network address clinicians problem by measuring hemodynamic non-invasively. The method is applicable for any types of bifurcation networks with different bifurcation angles in CAVM patients. Results: In this work, we constructed a mathematical model, measured hemodynamic for 23 patients (actual and simulated cases) with 60 vessel bifurcation angles variations. The results indicate that comparisons evidenced highly significant correlations between values computed by the lumped model and simulated mechanical model for both networks with p < 0.0001. A P value of less than 0.05 considered statistically significant. Conclusion: In this paper, we have modelled different bifurcation types and automatically display pressure and flow non-invasively at different node and at different angles of bifurcation in the complex vessel with help of bifurcation parameters, using lumped parameter model. We have simulated for different bifurcation angles and diameters of vessel for various imaging modality and model extend for different organs. This will help clinicians to measure haemodynamic parameters noninvasively at various bifurcations, where even catheter cannot be reached |
topic |
Bifurcation AVM Modelling Lumped Parameter |
url |
http://www.jbpe.org/Journal_OJS/JBPE/index.php/jbpe/article/view/438/340 |
work_keys_str_mv |
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