Literature DB >> 26968855

A Computational Framework for Personalized Blood Flow Analysis in the Human Left Atrium.

Tomohiro Otani1,2, Abdullah Al-Issa1, Amir Pourmorteza3,4, Elliot R McVeigh3,5, Shigeo Wada2, Hiroshi Ashikaga6,7.   

Abstract

Atrial fibrillation (AF), the most common human arrhythmia, is a marker of an increased risk of embolic stroke. However, recent studies suggest that AF may not be mechanistically responsible for the stroke events. An alternative explanation for the mechanism of intracardiac thrombosis and stroke in patients with AF is structural remodeling of the left atrium (LA). Nevertheless, a mechanistic link between LA structural remodeling and intracardiac thrombosis is unclear, because there is no clinically feasible methodology to evaluate the complex relationship between these two phenomena in individual patients. Computational fluid dynamics (CFD) is a powerful tool that could potentially link LA structural remodeling and intracardiac thrombosis in individual patients by evaluating the patient-specific LA blood flow characteristics. However, the lack of knowledge of the material and mechanical properties of the heart wall in specific patients makes it challenging to solve the complexity of fluid-structure interaction. In this study, our aim was to develop a clinically feasible methodology to perform personalized blood flow analysis within the heart. We propose an alternative computational approach to perform personalized blood flow analysis by providing the three-dimensional LA endocardial surface motion estimated from patient-specific cardiac CT images. In two patients (case 1 and 2), a four-dimensional displacement vector field was estimated using nonrigid registration. The LA blood outflow across the mitral valve (MV) was calculated from the LV volume, and the flow field within the LA was derived from the incompressible Navier-Stokes equation. The CFD results successfully captured characteristic features of LA blood flow observed clinically by transesophageal echocardiogram. The LA global flow characteristics and vortex structures also agreed well with previous reports. The time course of LAA emptying was similar in both cases, despite the substantial difference in the LA structure and function. We conclude that our CT-based, personalized LA blood flow analysis is a clinically feasible methodology that can be used to improve our understanding of the mechanism of intracardiac thrombosis and stroke in individual patients with LA structural remodeling.

Entities:  

Keywords:  Cardiac mechanics; Computational fluid dynamics; Computed tomography; Image-based simulation; Left atrium

Mesh:

Year:  2016        PMID: 26968855     DOI: 10.1007/s10439-016-1590-x

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  15 in total

1.  Precision of regional wall motion estimates from ultra-low-dose cardiac CT using SQUEEZ.

Authors:  Amir Pourmorteza; Noemie Keller; Richard Chen; Albert Lardo; Henry Halperin; Marcus Y Chen; Elliot McVeigh
Journal:  Int J Cardiovasc Imaging       Date:  2018-03-13       Impact factor: 2.357

2.  Computational Fluid Dynamic Analysis of the Left Atrial Appendage to Predict Thrombosis Risk.

Authors:  Giorgia Maria Bosi; Andrew Cook; Rajan Rai; Leon J Menezes; Silvia Schievano; Ryo Torii; Gaetano Burriesci
Journal:  Front Cardiovasc Med       Date:  2018-04-04

3.  The Impact of Left Atrium Appendage Morphology on Stroke Risk Assessment in Atrial Fibrillation: A Computational Fluid Dynamics Study.

Authors:  Alessandro Masci; Lorenzo Barone; Luca Dedè; Marco Fedele; Corrado Tomasi; Alfio Quarteroni; Cristiana Corsi
Journal:  Front Physiol       Date:  2019-01-22       Impact factor: 4.566

4.  Numerical Study of Atrial Fibrillation Effects on Flow Distribution in Aortic Circulation.

Authors:  Amin Deyranlou; Josephine H Naish; Christopher A Miller; Alistair Revell; Amir Keshmiri
Journal:  Ann Biomed Eng       Date:  2020-01-14       Impact factor: 3.934

5.  Effect of the Alterations in Contractility and Morphology Produced by Atrial Fibrillation on the Thrombosis Potential of the Left Atrial Appendage.

Authors:  Danila Vella; Alessandra Monteleone; Giulio Musotto; Giorgia Maria Bosi; Gaetano Burriesci
Journal:  Front Bioeng Biotechnol       Date:  2021-02-26

6.  Demonstration of Patient-Specific Simulations to Assess Left Atrial Appendage Thrombogenesis Risk.

Authors:  Manuel García-Villalba; Lorenzo Rossini; Alejandro Gonzalo; Davis Vigneault; Pablo Martinez-Legazpi; Eduardo Durán; Oscar Flores; Javier Bermejo; Elliot McVeigh; Andrew M Kahn; Juan C Del Álamo
Journal:  Front Physiol       Date:  2021-02-26       Impact factor: 4.755

7.  Joint Analysis of Morphological Parameters and In Silico Haemodynamics of the Left Atrial Appendage for Thrombogenic Risk Assessment.

Authors:  Maria Isabel Pons; Jordi Mill; Alvaro Fernandez-Quilez; Andy L Olivares; Etelvino Silva; Tom de Potter; Oscar Camara
Journal:  J Interv Cardiol       Date:  2022-03-14       Impact factor: 2.279

8.  Image-Based Computational Hemodynamics Analysis of Systolic Obstruction in Hypertrophic Cardiomyopathy.

Authors:  Ivan Fumagalli; Piermario Vitullo; Christian Vergara; Marco Fedele; Antonio F Corno; Sonia Ippolito; Roberto Scrofani; Alfio Quarteroni
Journal:  Front Physiol       Date:  2022-01-06       Impact factor: 4.566

9.  Effects of Ageing on Aortic Circulation During Atrial Fibrillation; a Numerical Study on Different Aortic Morphologies.

Authors:  Amin Deyranlou; Christopher A Miller; Alistair Revell; Amir Keshmiri
Journal:  Ann Biomed Eng       Date:  2021-03-02       Impact factor: 3.934

10.  Subject-Specific Calculation of Left Atrial Appendage Blood-Borne Particle Residence Time Distribution in Atrial Fibrillation.

Authors:  Soroosh Sanatkhani; Sotirios Nedios; Prahlad G Menon; Andreas Bollmann; Gerhard Hindricks; Sanjeev G Shroff
Journal:  Front Physiol       Date:  2021-05-11       Impact factor: 4.566

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