2025
ML-ROM wall shear stress prediction in patient-specific vascular pathologies under a limited clinical training data regime
Chatpattanasiri C, Ninno F, Stokes C, Dardik A, Strosberg D, Aboian E, von Tengg-Kobligk H, DĂaz-Zuccarini V, Balabani S. ML-ROM wall shear stress prediction in patient-specific vascular pathologies under a limited clinical training data regime. PLOS ONE 2025, 20: e0325644. PMID: 40504795, PMCID: PMC12161591, DOI: 10.1371/journal.pone.0325644.Peer-Reviewed Original ResearchConceptsReduced order modelComputational fluid dynamicsWall shear stressWall shear stress dataWall shear stress predictionsShear stress predictionsStress predictionShear stressFluid dynamicsLong processing timeFlowrate waveformsComputational cost analysisML-ROMOrder modelNumerical simulationsSpeed-up ratioProcessing timeMapping modelComputational costComputational demandsComplex case studyCase studyData-driven approachCost analysisFlowIn Silico, Patient-Specific Assessment of Local Hemodynamic Predictors and Neointimal Hyperplasia Localisation in an Arteriovenous Graft
Ninno F, Stokes C, Aboian E, Dardik A, Strosberg D, Balabani S, DĂaz-Zuccarini V. In Silico, Patient-Specific Assessment of Local Hemodynamic Predictors and Neointimal Hyperplasia Localisation in an Arteriovenous Graft. Annals Of Biomedical Engineering 2025, 53: 1575-1589. PMID: 40335792, PMCID: PMC12185642, DOI: 10.1007/s10439-025-03737-8.Peer-Reviewed Original ResearchConceptsComputational fluid dynamicsTurbulent kinetic energyComputational fluid dynamics resultsRigid-walled simulationsSST turbulence modelWall shear stress indicesShear stress indexThree-element Windkessel modelHelical flow structuresTurbulence modelCFD workflowFlow structureHemodynamic descriptorsFluid dynamicsWindkessel modelIdealised geometryFlow waveformsKinetic energyArteriovenous graftsNeointimal hyperplasiaFollow-upHemodynamic indicesGeometryInlet
2024
Modelling lower-limb peripheral arterial disease using clinically available datasets: impact of inflow boundary conditions on hemodynamic indices for restenosis prediction
Ninno F, Chiastra C, Colombo M, Dardik A, Strosberg D, Aboian E, Tsui J, Bartlett M, Balabani S, DĂaz-Zuccarini V. Modelling lower-limb peripheral arterial disease using clinically available datasets: impact of inflow boundary conditions on hemodynamic indices for restenosis prediction. Computer Methods And Programs In Biomedicine 2024, 251: 108214. PMID: 38759252, DOI: 10.1016/j.cmpb.2024.108214.Peer-Reviewed Original ResearchComputational fluid dynamics resultsComputational fluid dynamicsInlet boundary conditionsInlet BCBoundary conditionsLow time-averaged WSSComputational fluid dynamics simulationsTime-averaged WSSNear-wall hemodynamicsInflow boundary conditionsInlet waveformCFD simulationsInflow conditionsFluid dynamicsInletSurface areaWaveformFlow velocityGeometry reconstructionSimulationAccurate estimationVelocity waveformsDoppler ultrasound imagingAcquisition timeScanning
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