Evidence map›Paper›PMID 37783950›Full record

ArticleCardiovascular engineering and technology2023

4D Flow Patterns and Relative Pressure Distribution in a Left Ventricle Model by Shake-the-Box and Proper Orthogonal Decomposition Analysis.

Xiaolin Wu, Hicham Saaid, Jason Voorneveld, Tom Claessens, Jos J M Westenberg, Nico de Jong, Johan G Bosch, Saša Kenjereš

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Article in Cardiovascular engineering and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Hemodynamic Evaluation for Mitral Valve Replacement.Annals of biomedical engineering · 2026
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiaolin WuDepartment of Chemical Engineering, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands. X.Wu-5@tudelft.nl.ORCID 0000-0003-0287-0176
Hicham SaaidInstitute Biomedical Technology, Ghent University, Ghent, Belgium.
Jason VoorneveldDepartment of Biomedical Engineering, Thorax Center, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Tom ClaessensDepartment of Materials, Textiles and Chemical Engineering, Ghent University, Ghent, Belgium.
Jos J M WestenbergCardioVascular Imaging Group, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Nico de JongDepartment of Biomedical Engineering, Thorax Center, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Johan G BoschDepartment of Biomedical Engineering, Thorax Center, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Saša KenjerešDepartment of Chemical Engineering, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands.

Funding

ZonMw 104003001
6 · The paper itself

Abstract

purposeIntraventricular blood flow dynamics are associated with cardiac function. Accurate, noninvasive, and easy assessments of hemodynamic quantities (such as velocity, vortex, and pressure) could be an important addition to the clinical diagnosis and treatment of heart diseases. However, the complex time-varying flow brings many challenges to the existing noninvasive image-based hemodynamic assessments. The development of reliable techniques and analysis tools is essential for the application of hemodynamic biomarkers in clinical practice.

methodsIn this study, a time-resolved particle tracking method, Shake-the-Box, was applied to reconstruct the flow in a realistic left ventricle (LV) silicone model with biological valves. Based on the obtained velocity, 4D pressure field was calculated using a Poisson equation-based pressure solver. Furthermore, flow analysis by proper orthogonal decomposition (POD) of the 4D velocity field has been performed.

resultsAs a result of the Shake-the-Box algorithm, we have extracted: (i) particle positions, (ii) particle tracks, and finally, (iii) 4D velocity fields. From the latter, the temporal evolution of the 3D pressure field during the full cardiac cycle was obtained. The obtained maximal pressure difference extracted along the base-to-apex was about 2.7 mmHg, which is in good agreement with those reported in vivo. The POD analysis results showed a clear picture of different scale of vortices in the pulsatile LV flow, together with their time-varying information and corresponding kinetic energy content. To reconstruct 95% of the kinetic energy of the LV flow, only the first six POD modes would be required, leading to significant data reduction.

conclusionsThis work demonstrated Shake-the-Box is a promising technique to accurately reconstruct the left ventricle flow field in vitro. The good spatial and temporal resolutions of the velocity measurements enabled a 4D reconstruction of the pressure field in the left ventricle. The application of POD analysis showed its potential in reducing the complexity of the high-resolution left ventricle flow measurements. For future work, image analysis, multi-modality flow assessments, and the development of new flow-derived biomarkers can benefit from fast and data-reducing POD analysis.

Indexed as

Heart VentriclesHemodynamicsBiomarkersBlood Flow VelocityImage Processing, Computer-AssistedPressureBiomarkersHemodynamicsLeft ventricleParticle trackingPressureProper orthogonal decompositionShake-the-Box

Identifiers

PMID37783950
PMCPMC10739257

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.