Literature DB >> 23701843

Validation of a 1D patient-specific model of the arterial hemodynamics in bypassed lower-limbs: simulations against in vivo measurements.

Marie Willemet1, Valérie Lacroix, Emilie Marchandise.   

Abstract

The validation of a coupled 1D-0D model of the lower-limb arterial hemodynamics is presented. This study focuses on pathological subjects (6 patients, 72.7±11.1 years) suffering from atherosclerosis who underwent a femoro-popliteal bypass surgery. The 1D model comprises four vessels from the upper-leg, peripheral networks are modeled with three-element windkessels and in vivo velocity is prescribed at the inlet. The model is patient-specific: its parameters reflect the physiological condition of the subjects. In vivo data are acquired invasively during bypass surgery using B-mode ultrasonography and catheter. Simulations from the model compare well with measured velocity (u) and pressure (p) waveforms: average relative root-mean-square error between numerical and experimental waveforms are limited to εp=9.6%, εu=16.0%. The model is able to reproduce the intensity and shape of waveforms observed in different clinical cases. This work also details the introduction of blood leakages along the pathological arterial network, and the sensitivity of the model to its parameters. This study constitutes a first validation of a patient-specific numerical model of a pathological arterial network. It presents an efficient tool for engineers and clinicians to help them improve their understanding of the hemodynamics in diseased arteries.
Copyright © 2013 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Hemodynamics; In vivo data acquisition; Lower-limb bypass; One-dimensional model; Parameter fitting

Mesh:

Year:  2013        PMID: 23701843     DOI: 10.1016/j.medengphy.2013.04.012

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  12 in total

1.  Non-invasive assessment of patient-specific aortic haemodynamics from four-dimensional flow MRI data.

Authors:  Lucian Itu; Dominik Neumann; Viorel Mihalef; Felix Meister; Martin Kramer; Mehmet Gulsun; Marcus Kelm; Titus Kühne; Puneet Sharma
Journal:  Interface Focus       Date:  2017-12-15       Impact factor: 3.906

2.  A database of virtual healthy subjects to assess the accuracy of foot-to-foot pulse wave velocities for estimation of aortic stiffness.

Authors:  Marie Willemet; Phil Chowienczyk; Jordi Alastruey
Journal:  Am J Physiol Heart Circ Physiol       Date:  2015-06-08       Impact factor: 4.733

3.  Reducing the number of parameters in 1D arterial blood flow modeling: less is more for patient-specific simulations.

Authors:  Sally Epstein; Marie Willemet; Phil J Chowienczyk; Jordi Alastruey
Journal:  Am J Physiol Heart Circ Physiol       Date:  2015-04-17       Impact factor: 4.733

4.  Arterial pressure and flow wave analysis using time-domain 1-D hemodynamics.

Authors:  Marie Willemet; Jordi Alastruey
Journal:  Ann Biomed Eng       Date:  2014-08-20       Impact factor: 3.934

5.  Patient-specific structural effects on hemodynamics in the ischemic lower limb artery.

Authors:  Pengcheng Xu; Xin Liu; Qi Song; Guishan Chen; Defeng Wang; Heye Zhang; Li Yan; Dan Liu; Wenhua Huang
Journal:  Sci Rep       Date:  2016-12-15       Impact factor: 4.379

6.  Computational assessment of hemodynamics-based diagnostic tools using a database of virtual subjects: Application to three case studies.

Authors:  Marie Willemet; Samuel Vennin; Jordi Alastruey
Journal:  J Biomech       Date:  2016-11-05       Impact factor: 2.712

7.  A 1D computer model of the arterial circulation in horses: An important resource for studying global interactions between heart and vessels under normal and pathological conditions.

Authors:  Lisse Vera; Daimé Campos Arias; Sofie Muylle; Nikos Stergiopulos; Patrick Segers; Gunther van Loon
Journal:  PLoS One       Date:  2019-08-21       Impact factor: 3.240

8.  Personalized Pre- and Post-Operative Hemodynamic Assessment of Aortic Coarctation from 3D Rotational Angiography.

Authors:  Cosmin-Ioan Nita; Andrei Puiu; Daniel Bunescu; Lucian Mihai Itu; Viorel Mihalef; Gouthami Chintalapani; Aimee Armstrong; Jeffrey Zampi; Lee Benson; Puneet Sharma; Saikiran Rapaka
Journal:  Cardiovasc Eng Technol       Date:  2021-06-18       Impact factor: 2.495

9.  Blood pressure gradients in cerebral arteries: a clue to pathogenesis of cerebral small vessel disease.

Authors:  Pablo J Blanco; Lucas O Müller; J David Spence
Journal:  Stroke Vasc Neurol       Date:  2017-06-08

10.  An Automated Workflow for Hemodynamic Computations in Cerebral Aneurysms.

Authors:  Cosmin-Ioan Nita; Takashi Suzuki; Lucian Mihai Itu; Viorel Mihalef; Hiroyuki Takao; Yuichi Murayama; Puneet Sharma; Thomas Redel; Saikiran Rapaka
Journal:  Comput Math Methods Med       Date:  2020-06-17       Impact factor: 2.238

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.