2 / 2025-02-10 06:52:39

Unified Lattice Boltzmann Method for Image-based Computational Hemodynamics with Medical Applications

Volumetric lattice Boltzmann Method,image-based computational hemodynamics,Arterial stenosis,Hemodynamic index

With recent advancements in medical imaging, computational power, and mathematical algorithms, image-based computational hemodynamics (ICH) has emerged as a powerful tool for patient-specific diagnostics and therapeutics in cardiovascular disease. Compared to traditional radiological scanning and animal model experimentation, ICH offers several key advantages, including lower costs in facilities, personnel, and supplies; complete safety for human subjects; extensive parametric analysis capabilities; and direct application to personalized cases. We have developed InVascular, a novel computational platform for noninvasive assessment of hemodynamic severity in arterial stenosis and prediction of potential therapeutic benefits. InVascular integrates a unified lattice Boltzmann modeling approach for both image segmentation and computational fluid dynamics, leveraging GPU-based parallel computing^{[1, 2]} to enable rapid quantification of 4D hemodynamics and large-scale numerical analyses for clinical applications. This talk will cover the modeling methods behind InVascular and highlight an ongoing clinical project, New Noninvasive Technique for Severity Assessment of Arterial Stenosis to Facilitate Informed and Personalized Revascularization Decisions^[3] (Fig. 1). Through this project, we illustrate how engineering modeling and analysis can enhance diagnostic and therapeutic approaches in cardiovascular medicine.



References

1.    Zhang, Gomez-Paz, Chen, et al., Volumetric lattice Boltzmann method for wall stresses of image-based pulsatile flows. Scientific Reports. 2022;12(1):1-15.

2.    An, Yu, Wang, et al.,. Unified Mesoscopic Modeling and GPU-accelerated Computational Method for Image-based Pore-scale Porous Media Flows. Int J of Heat Mass Trans. 2017;115:1192-202.

3.    Yu, Khan, Wu, et al., A new noninvasive and patient-specific hemodynamic index for assessing the severity of renal arterial stenosis. International Journal for Numerical Methods in Biomedical Engineering. 2022;e3611(PMID: 35509229):1-42.