ArticleInternational journal for numerical methods in biomedical engineering2022
Automated generation of 0D and 1D reduced-order models of patient-specific blood flow.
Article in International journal for numerical methods in biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Feasibility of Zero-Dimensional-Model-Based Pulse Waveform Analysis as a Tool to Detect Ascending Thoracic Aortic Aneurysm Growth.Journal of biomechanical engineering · 2026Article
- Article
- 3D vascular quantitation with application to computational modeling: a pre-clinical light sheet microscopy, high resolution ultrasound, nano-computed tomography comparison study.bioRxiv : the preprint server for biology · 2026Article
- On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiological boundary conditions.Computers in biology and medicine · 2026Article
- Reduced order computational fluid dynamic simulations in the thoracic aorta are associated with disease recorded in a medical biobank.Scientific reports · 2025Article
- Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantification.Computer methods and programs in biomedicine · 2025Article
- A Novel Diastolic Doppler Index Less Affected by Aortic Arch Anomalies Co-existing with Coarctation.Pediatric cardiology · 2025Article
- Experiments and Simulations to Assess Exercise-Induced Pressure Drop Across Aortic Coarctations.Journal of biomechanical engineering · 2025Article
- Dissecting contributions of pulmonary arterial remodeling to right ventricular afterload in pulmonary hypertension.Bioengineering & translational medicine · 2025Article
- Rapid model-guided design of organ-scale synthetic vasculature for biomanufacturing.Science (New York, N.Y.) · 2025Article
- Multiscale simulations that incorporate patient-specific neural network models of platelet calcium signaling predict diverse thrombotic outcomes under flow.PLoS computational biology · 2025Article
- InVAErt networks for amortized inference and identifiability analysis of lumped-parameter haemodynamic models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- A systematic quantification of hemodynamic differences persisting after aortic coarctation repair.Frontiers in bioengineering and biotechnology · 2025Article
- Hybrid physics-based and data-driven modeling of vascular bifurcation pressure differences.Computers in biology and medicine · 2025Article
- svZeroDSolver: A modular package for lumped-parameter cardiovascular simulations.Journal of open source software · 2025Article
- Enhancing cardiac assessments: accurate and efficient prediction of quantitative fractional flow reserve.Frontiers in bioengineering and biotechnology · 2025Article
- Deforming Patient-Specific Models of Vascular Anatomies to Represent Stent Implantation via Extended Position Based Dynamics.Cardiovascular engineering and technology · 2024Article
- FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method.Computer methods in applied mechanics and engineering · 2024Article
- Article
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Authors and funding
8 authors.
Funding
Abstract
Three-dimensional (3D) cardiovascular fluid dynamics simulations typically require hours to days of computing time on a high-performance computing cluster. One-dimensional (1D) and lumped-parameter zero-dimensional (0D) models show great promise for accurately predicting blood bulk flow and pressure waveforms with only a fraction of the cost. They can also accelerate uncertainty quantification, optimization, and design parameterization studies. Despite several prior studies generating 1D and 0D models and comparing them to 3D solutions, these were typically limited to either 1D or 0D and a singular category of vascular anatomies. This work proposes a fully automated and openly available framework to generate and simulate 1D and 0D models from 3D patient-specific geometries, automatically detecting vessel junctions and stenosis segments. Our only input is the 3D geometry; we do not use any prior knowledge from 3D simulations. All computational tools presented in this work are implemented in the open-source software platform SimVascular. We demonstrate the reduced-order approximation quality against rigid-wall 3D solutions in a comprehensive comparison with N = 72 publicly available models from various anatomies, vessel types, and disease conditions. Relative average approximation errors of flows and pressures typically ranged from 1% to 10% for both 1D and 0D models, measured at the outlets of terminal vessel branches. In general, 0D model errors were only slightly higher than 1D model errors despite requiring only a third of the 1D runtime. Automatically generated ROMs can significantly speed up model development and shift the computational load from high-performance machines to personal computers.
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Registered trials
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 Socratic graph.