Literature DB >> 22771032

Identification of vascular territory resistances in one-dimensional hemodynamics simulations.

P J Blanco1, S M Watanabe, R A Feijóo.   

Abstract

The present work deals with the parameter identification problem in outflow models used in one-dimensional simulations of arterial blood flow. Specifically, the resistive elements that define the models used to account for the blood supply to the vascular territories in arterial networks are computed by solving a system of non-linear equations using a Broyden method. This strategy is employed to compute the terminal parameters in the vascular territories of an anatomically detailed model of the arm comprising 67 arterial segments and 16 vascular territories. A comparison with a simple analytical approach, in terms of vascular territory resistances, average blood flows and time-dependent hemodynamic quantities, is performed. Also, a sensitivity analysis is presented to assess the performance of this new approach in normal and abnormal cardiovascular scenarios. This identification procedure allows to correctly set up hemodynamics simulations in highly detailed arterial networks making possible to gain insight in the aspects related to the blood circulation in arterial vessels.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22771032     DOI: 10.1016/j.jbiomech.2012.06.002

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  6 in total

1.  Model inversion via multi-fidelity Bayesian optimization: a new paradigm for parameter estimation in haemodynamics, and beyond.

Authors:  Paris Perdikaris; George Em Karniadakis
Journal:  J R Soc Interface       Date:  2016-05       Impact factor: 4.118

2.  An efficient full space-time discretization method for subject-specific hemodynamic simulations of cerebral arterial blood flow with distensible wall mechanics.

Authors:  Chang Sub Park; Ali Alaraj; Xinjian Du; Fady T Charbel; Andreas A Linninger
Journal:  J Biomech       Date:  2019-02-25       Impact factor: 2.712

3.  An effective fractal-tree closure model for simulating blood flow in large arterial networks.

Authors:  Paris Perdikaris; Leopold Grinberg; George Em Karniadakis
Journal:  Ann Biomed Eng       Date:  2014-12-16       Impact factor: 3.934

4.  A flexible framework for sequential estimation of model parameters in computational hemodynamics.

Authors:  Christopher J Arthurs; Nan Xiao; Philippe Moireau; Tobias Schaeffter; C Alberto Figueroa
Journal:  Adv Model Simul Eng Sci       Date:  2020-12-02

Review 5.  Inverse problems in blood flow modeling: A review.

Authors:  David Nolte; Cristóbal Bertoglio
Journal:  Int J Numer Method Biomed Eng       Date:  2022-05-24       Impact factor: 2.648

6.  Why is ABI effective in detecting vascular stenosis? Investigation based on multibranch hemodynamic model.

Authors:  Xiaoyun Li; Ling Wang; Chi Zhang; Shuyu Li; Fang Pu; Yubo Fan; Deyu Li
Journal:  ScientificWorldJournal       Date:  2013-09-05
  6 in total

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