Literature DB >> 30098137

Computational fluid dynamic study for aTAA hemodynamics: an integrated image-based and RBF mesh morphing approach.

Katia Capellini1, Emanuele Vignali1, Emiliano Costa2, Emanuele Gasparotti1, Marco Evangelos Biancolini3, Luigi Landini4, Vincenzo Positano1, Simona Celi1.   

Abstract

We present a novel framework for the fluid dynamics analysis of healthy subjects and patients affected by ascending thoracic aorta aneurysm (aTAA). Our aim is to obtain indications about the effect of a bulge on the hemodynamic environment at different enlargements. 3D surface models defined from healthy subjects and patients with aTAA, selected for surgical repair, were generated. A representative shape model for both healthy and pathological groups has been identified. A morphing technique based on radial basis functions (RBF) was applied to mould the shape relative to healthy patient into the representative shape of aTAA dataset to enable the parametric simulation of the aTAA formation. CFD simulations were performed by means of a finite volume solver using the mean boundary conditions obtained from three-dimensional (PC-MRI) acquisition. Blood flow helicity and flow descriptors were assessed for all the investigated models. The feasibility of the proposed integrated approach of RBF morphing technique and CFD simulation for aTAA was demonstrated. Significant hemodynamic changes appear at the 60% of the bulge progression. An impingement of the flow toward the bulge was observed by analyzing the normalized flow eccentricity index.

Entities:  

Year:  2018        PMID: 30098137     DOI: 10.1115/1.4040940

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  4 in total

1.  4D Flow MRI Estimation of Boundary Conditions for Patient Specific Cardiovascular Simulation.

Authors:  Ryan Pewowaruk; Alejandro Roldán-Alzate
Journal:  Ann Biomed Eng       Date:  2019-05-08       Impact factor: 3.934

Review 2.  Recent Advances in Biomechanical Characterization of Thoracic Aortic Aneurysms.

Authors:  Hannah L Cebull; Vitaliy L Rayz; Craig J Goergen
Journal:  Front Cardiovasc Med       Date:  2020-05-12

3.  Statistical Shape Analysis of Ascending Thoracic Aortic Aneurysm: Correlation between Shape and Biomechanical Descriptors.

Authors:  Federica Cosentino; Giuseppe M Raffa; Giovanni Gentile; Valentina Agnese; Diego Bellavia; Michele Pilato; Salvatore Pasta
Journal:  J Pers Med       Date:  2020-04-22

4.  On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses.

Authors:  Simona Celi; Emanuele Vignali; Katia Capellini; Emanuele Gasparotti
Journal:  Front Med Technol       Date:  2021-12-01
  4 in total

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