Modal analysis of blood flows in saccular aneurysms
Thien-Tam Nguyen, Davina Kasperski, Phat Kim Huynh, Trung Quoc Le, and, Trung Bao Le

TL;DR
This study demonstrates that Dynamic Mode Decomposition (DMD) effectively analyzes blood flow dynamics in brain aneurysms across various data resolutions, offering a promising tool for in-vivo hemodynamic assessment despite current imaging limitations.
Contribution
The paper introduces the application of Hankel-DMD and Optimized-DMD to low-resolution blood flow data, validating their robustness for clinical hemodynamic analysis.
Findings
DMD characterizes inflow jet dynamics at low resolutions.
Flow instabilities and large-scale structures are separable by DMD.
DMD's energy spectrum quantifies flow dynamics reliably across resolutions.
Abstract
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…
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Taxonomy
TopicsHemodynamic Monitoring and Therapy · Intracranial Aneurysms: Treatment and Complications
