Towards Reduced Order Models via Robust Proper Orthogonal Decomposition to capture personalised aortic haemodynamics

Chatpattanasiri, Chotirawee; Franzetti, Gaia; Bonfanti, Mirko; Díaz‐Zuccarini, Vanessa; Balabani, Stavroula

doi:10.1016/j.jbiomech.2023.111759

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Cited by 4 publications

References 40 publications

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Patient-specific, multiscale modelling of neointimal hyperplasia in lower-limb vein grafts using readily available clinical data

Ninno,

Chiastra,

Donadoni

et al. 2024

Journal of Biomechanics

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Patient-specific, multiscale modelling of neointimal hyperplasia in lower-limb vein grafts using readily available clinical data

Ninno,

Chiastra,

Donadoni

et al. 2024

Journal of Biomechanics

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Mechanisms of aortic dissection: From pathological changes to experimental and in silico models

Rolf-Pissarczyk,

Schussnig,

Fries

et al. 2025

Progress in Materials Science

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Modal analysis of blood flows in saccular aneurysms

Nguyen,

Kasperski,

Huynh

et al. 2025

Physics of Fluids

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Currently, it is challenging to investigate aneurismal hemodynamics based on current in vivo data such as Magnetic Resonance Imaging or Computed Tomography due to the limitations in both spatial and temporal resolutions. In this work, we investigate the use of modal analysis at various resolutions to examine its usefulness for analyzing blood flows in brain aneurysms. Two variants of Dynamic Mode Decomposition (DMD): (i) Hankel-DMD; and (ii) Optimized-DMD, are used to extract the time-dependent dynamics of blood flows during one cardiac cycle. First, high-resolution hemodynamic data in patient-specific aneurysms are obtained using Computational Fluid Dynamics. Second, the dynamics modes, along with their spatial amplitudes and temporal magnitudes are calculated using the DMD analysis. Third, an examination of DMD analyses using a range of spatial and temporal resolutions of hemodynamic data to validate the applicability of DMD for low-resolution data, similar to ones in clinical practices. Our results show that DMD is able to characterize the inflow jet dynamics by separating large-scale structures and flow instabilities even at low spatial and temporal resolutions. Its robustness in quantifying the flow dynamics using the energy spectrum is demonstrated across different resolutions in all aneurysms in our study population. Our work indicates that DMD can be used for analyzing blood flow patterns of brain aneurysms and is a promising tool to be explored in in vivo.

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Towards Reduced Order Models via Robust Proper Orthogonal Decomposition to capture personalised aortic haemodynamics

Cited by 4 publications

References 40 publications

Patient-specific, multiscale modelling of neointimal hyperplasia in lower-limb vein grafts using readily available clinical data

Patient-specific, multiscale modelling of neointimal hyperplasia in lower-limb vein grafts using readily available clinical data

Mechanisms of aortic dissection: From pathological changes to experimental and in silico models

Modal analysis of blood flows in saccular aneurysms

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