Literature DB >> 23606344

Cardiovascular and lung mesh generation based on centerlines.

E Marchandise1, C Geuzaine, J F Remacle.   

Abstract

We present a fully automatic procedure for the mesh generation of tubular geometries such as blood vessels or airways. The procedure is implemented in the open-source Gmsh software and relies on a centerline description of the input geometry. The presented method can generate different type of meshes: isotropic tetrahedral meshes, anisotropic tetrahedral meshes, and mixed hexahedral/tetrahedral meshes. Additionally, a multiple layered arterial wall can be generated with a variable thickness. All the generated meshes rely on a mesh size field and a mesh metric that is based on centerline descriptions, namely the distance to the centerlines and a local reference system based on the tangent and the normal directions to the centerlines. Different examples show that the proposed method is very efficient and robust and leads to high quality computational meshes.
Copyright © 2013 John Wiley & Sons, Ltd.

Mesh:

Year:  2013        PMID: 23606344     DOI: 10.1002/cnm.2549

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  7 in total

1.  Numerical simulations of aerosol delivery to the human lung with an idealized laryngeal model, image-based airway model, and automatic meshing algorithm.

Authors:  Shinjiro Miyawaki; Eric A Hoffman; Ching-Long Lin
Journal:  Comput Fluids       Date:  2017-02-10       Impact factor: 3.013

2.  Computing volume potentials for noninvasive imaging of cardiac excitation.

Authors:  A W Maurits van der Graaf; Pranav Bhagirath; Vincent J H M van Driel; Hemanth Ramanna; Jacques de Hooge; Natasja M S de Groot; Marco J W Götte
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-07-17       Impact factor: 1.468

3.  Automatic construction of subject-specific human airway geometry including trifurcations based on a CT-segmented airway skeleton and surface.

Authors:  Shinjiro Miyawaki; Merryn H Tawhai; Eric A Hoffman; Sally E Wenzel; Ching-Long Lin
Journal:  Biomech Model Mechanobiol       Date:  2016-10-04

4.  Feasibility and Accuracy of Cardiac Magnetic Resonance Imaging-Based Whole-Heart Inverse Potential Mapping of Sinus Rhythm and Idiopathic Ventricular Foci.

Authors:  Pranav Bhagirath; Maurits van der Graaf; Elise van Dongen; Jacques de Hooge; Vincent van Driel; Hemanth Ramanna; Natasja de Groot; Marco J W Götte
Journal:  J Am Heart Assoc       Date:  2015-10-14       Impact factor: 5.501

Review 5.  Biomechanics of Transcatheter Aortic Valve Implant.

Authors:  Francesco Nappi; Sanjeet Singh Avtaar Singh; Pierluigi Nappi; Antonio Fiore
Journal:  Bioengineering (Basel)       Date:  2022-07-04

6.  Non-invasive focus localization, right ventricular epicardial potential mapping in patients with an MRI-conditional pacemaker system - a pilot study.

Authors:  A W Maurits van der Graaf; Pranav Bhagirath; Jacques de Hooge; Hemanth Ramanna; Vincent J H M van Driel; Natasja M S de Groot; Marco J W Götte
Journal:  J Interv Card Electrophysiol       Date:  2015-09-14       Impact factor: 1.900

7.  A priori model independent inverse potential mapping: the impact of electrode positioning.

Authors:  A W Maurits van der Graaf; Pranav Bhagirath; Jacques de Hooge; Natasja M S de Groot; Marco J W Götte
Journal:  Clin Res Cardiol       Date:  2015-07-28       Impact factor: 5.460

  7 in total

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