Literature DB >> 26792789

Heterogeneous mechanics of the mouse pulmonary arterial network.

Pilhwa Lee1, Brian E Carlson1, Naomi Chesler2, Mette S Olufsen3, M Umar Qureshi3, Nicolas P Smith4,5, Taha Sochi4, Daniel A Beard6.   

Abstract

Individualized modeling and simulation of blood flow mechanics find applications in both animal research and patient care. Individual animal or patient models for blood vessel mechanics are based on combining measured vascular geometry with a fluid structure model coupling formulations describing dynamics of the fluid and mechanics of the wall. For example, one-dimensional fluid flow modeling requires a constitutive law relating vessel cross-sectional deformation to pressure in the lumen. To investigate means of identifying appropriate constitutive relationships, an automated segmentation algorithm was applied to micro-computerized tomography images from a mouse lung obtained at four different static pressures to identify the static pressure-radius relationship for four generations of vessels in the pulmonary arterial network. A shape-fitting function was parameterized for each vessel in the network to characterize the nonlinear and heterogeneous nature of vessel distensibility in the pulmonary arteries. These data on morphometric and mechanical properties were used to simulate pressure and flow velocity propagation in the network using one-dimensional representations of fluid and vessel wall mechanics. Moreover, wave intensity analysis was used to study effects of wall mechanics on generation and propagation of pressure wave reflections. Simulations were conducted to investigate the role of linear versus nonlinear formulations of wall elasticity and homogeneous versus heterogeneous treatments of vessel wall properties. Accounting for heterogeneity, by parameterizing the pressure/distention equation of state individually for each vessel segment, was found to have little effect on the predicted pressure profiles and wave propagation compared to a homogeneous parameterization based on average behavior. However, substantially different results were obtained using a linear elastic thin-shell model than were obtained using a nonlinear model that has a more physiologically realistic pressure versus radius relationship.

Entities:  

Keywords:  Arterial blood flow; Heterogeneity; Pressure–radius relationship; Pulmonary arterial network; Vessel mechanics; Wave intensity analysis

Mesh:

Year:  2016        PMID: 26792789      PMCID: PMC4956606          DOI: 10.1007/s10237-015-0757-y

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  48 in total

1.  Forward and backward running waves in the arteries: analysis using the method of characteristics.

Authors:  K H Parker; C J Jones
Journal:  J Biomech Eng       Date:  1990-08       Impact factor: 2.097

2.  Three-dimensional hemodynamics in the human pulmonary arteries under resting and exercise conditions.

Authors:  Beverly T Tang; Tim A Fonte; Frandics P Chan; Philip S Tsao; Jeffrey A Feinstein; Charles A Taylor
Journal:  Ann Biomed Eng       Date:  2010-07-17       Impact factor: 3.934

3.  A multiaxial computer-controlled organ culture and biomechanical device for mouse carotid arteries.

Authors:  R L Gleason; S P Gray; E Wilson; J D Humphrey
Journal:  J Biomech Eng       Date:  2004-12       Impact factor: 2.097

4.  Linear and nonlinear viscoelastic modeling of aorta and carotid pressure-area dynamics under in vivo and ex vivo conditions.

Authors:  Daniela Valdez-Jasso; Daniel Bia; Yanina Zócalo; Ricardo L Armentano; Mansoor A Haider; Mette S Olufsen
Journal:  Ann Biomed Eng       Date:  2011-01-04       Impact factor: 3.934

5.  A nonlinear fluid model for pulmonary blood circulation.

Authors:  C W Li; H D Cheng
Journal:  J Biomech       Date:  1993-06       Impact factor: 2.712

6.  Computational fluid dynamic simulations for determination of ventricular workload in aortic arch obstructions.

Authors:  Jessica S Coogan; Frandics P Chan; John F Ladisa; Charles A Taylor; Frank L Hanley; Jeffrey A Feinstein
Journal:  J Thorac Cardiovasc Surg       Date:  2012-04-18       Impact factor: 5.209

7.  On coupling a lumped parameter heart model and a three-dimensional finite element aorta model.

Authors:  H J Kim; I E Vignon-Clementel; C A Figueroa; J F LaDisa; K E Jansen; J A Feinstein; C A Taylor
Journal:  Ann Biomed Eng       Date:  2009-07-17       Impact factor: 3.934

8.  Multiscale modelling in biofluidynamics: application to reconstructive paediatric cardiac surgery.

Authors:  Francesco Migliavacca; Rossella Balossino; Giancarlo Pennati; Gabriele Dubini; Tain-Yen Hsia; Marc R de Leval; Edward L Bove
Journal:  J Biomech       Date:  2005-04-25       Impact factor: 2.712

9.  Multi-Scale Computational Model of Three-Dimensional Hemodynamics within a Deformable Full-Body Arterial Network.

Authors:  Nan Xiao; Jay D Humphrey; C Alberto Figueroa
Journal:  J Comput Phys       Date:  2013-07-01       Impact factor: 3.553

Review 10.  Review of zero-D and 1-D models of blood flow in the cardiovascular system.

Authors:  Yubing Shi; Patricia Lawford; Rodney Hose
Journal:  Biomed Eng Online       Date:  2011-04-26       Impact factor: 2.819

View more
  3 in total

1.  Image-based scaling laws for somatic growth and pulmonary artery morphometry from infancy to adulthood.

Authors:  Melody Dong; Weiguang Yang; John S Tamaresis; Frandics P Chan; Evan J Zucker; Sahana Kumar; Marlene Rabinovitch; Alison L Marsden; Jeffrey A Feinstein
Journal:  Am J Physiol Heart Circ Physiol       Date:  2020-07-03       Impact factor: 4.733

2.  Uncertainty Quantification in a Patient-Specific One-Dimensional Arterial Network Model: EnKF-Based Inflow Estimator.

Authors:  Andrea Arnold; Christina Battista; Daniel Bia; Yanina Zócalo German; Ricardo L Armentano; Hien Tran; Mette S Olufsen
Journal:  J Verif Valid Uncertain Quantif       Date:  2017-02-22

3.  Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation.

Authors:  L Mihaela Paun; Mitchel J Colebank; Mette S Olufsen; Nicholas A Hill; Dirk Husmeier
Journal:  J R Soc Interface       Date:  2020-12-23       Impact factor: 4.118

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.