Particle hydrodynamic simulation of thrombus formation using velocity decay factor

Document Type

Article

Publication Date

8-1-2021

Abstract

Background and objective: Thrombus simulation plays an important role in many specialist areas in the field of medicine such as surgical education and training, clinical diagnosis and prediction, treatment planning, etc. Although a considerable number of methods have been developed to simulate various kinds of fluid flows, it remains a non-trivial task to effectively simulate thrombus because of its unique physiological properties in contrast to other types of fluids. To tackle this issue, this study introduces a novel method to model the formation mechanism of thrombus and its interaction with blood flow. Methods: The proposed method for thrombus formation simulation mainly consists of three steps. First, we formulate the formation of thrombus as a particle-based model and obtain the fibrin concentration of the particles with a discretized form of the convection-diffusion-reaction equation; then, we calculate the velocity decay factor using the obtained fibrin concentration. Finally, the formation of thrombus can be simulated by applying the velocity decay factor on particles. Results: We carried out extensive experiments under different settings to verify the efficacy of the proposed method. The experimental results demonstrate that our method can yield more realistic simulation of thrombus and is superior to peer method in terms of computational efficiency, maintaining the stability of the dynamic particle motion, and preventing particle penetration at the boundary. Conclusion: The proposed method can simulate the formation mechanism of thrombus and the interaction between blood flow and thrombus both efficiently and effectively.

Identifier

85107134269 (Scopus)

Publication Title

Computer Methods and Programs in Biomedicine

External Full Text Location

https://doi.org/10.1016/j.cmpb.2021.106173

e-ISSN

18727565

ISSN

01692607

PubMed ID

34058630

Volume

207

Grant

2019GKQNCX120

Fund Ref

Shantou University

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