Week of 2026-05-04 — 9 new papers

Cardiovascular CFD, hemodynamics, and AI modelling (PINN · neural operators · surrogates · digital twins). Auto-curated from OpenAlex + arXiv, classified with Claude.

At a glance

Tier	Topic	Count
A	Boundary conditions (inlet/outlet, Windkessel)	0
B	Turbulence modelling (RANS, LES, DNS)	0
C	V&V and uncertainty quantification	0
D	Physiology & scaling laws	2
E	Imaging & WSS measurement	6
F	AI, ML & digital-twin pipelines	1

Highlights this week

MRI-based CFD simulations of transient blood flow in compliant aortas using the LDDMM framework — Daiqi Lin et al. · Computer Methods and Programs in Biomedi
Computational hemodynamics of aortic aneurysms and dissections: flow patterns, blood rheology, wall mechanics, and clinical implications — Hakan Bayrakcı et al. · Bulletin of Biomathematics
Digital Twins in Coronary Artery Disease: A Mathematical Roadmap — Alessandro Veneziani et al. · arXiv · math.NA

Tier D — Physiology & scaling laws

Computational hemodynamics of aortic aneurysms and dissections: flow patterns, blood rheology, wall mechanics, and clinical implications

Hakan Bayrakcı et al. · Bulletin of Biomathematics · 2026 · DOI

Comprehensive review of computational hemodynamics in aortic aneurysms and dissections, synthesizing CFD/FSI studies on flow patterns, wall shear stress metrics, non-Newtonian rheology, and wall compliance effects on rupture risk. Emphasizes that disturbed flow (recirculation, vortex formation, oscillatory shear) correlates with thrombus formation and wall degeneration, supporting function-based over diameter-centric risk stratification.

Why it matters: Cardiovascular CFD practitioners need this synthesis to understand how methodological choices (rheology models, FSI coupling, boundary conditions) affect hemodynamic biomarkers used in clinical risk assessment, though it is a review rather than a primary methodological or validation contribution.

Related from the AortaCFD corpus:

Khan et al. (2017) · Non-Newtonian versus numerical rheology: Practical impact of shear-thinning on the prediction of stable and unstable flows in intracranial aneurysms (p. 2) — DOI
Berg et al. (2019) · A Review on the Reliability of Hemodynamic Modeling in Intracranial Aneurysms: Why Computational Fluid Dynamics Alone Cannot Solve the Equation — DOI

Hemodynamic Alterations Associated with Varying Aneurysm Sizes in the Aortic Arch

A B M Nazmus Salehin Nahid et al. · Bioengineering · 2026 · DOI

CFD study of pulsatile flow in patient-specific aortic arch aneurysm models (45–65 mm diameter) quantifies hemodynamic markers (WSS, OSI, helicity, recirculation) and their correlation with aneurysm progression and rupture risk. Results show that larger aneurysms promote low WSS, high OSI, and flow stasis—conditions associated with thrombosis and wall degradation.

Why it matters: Provides hemodynamic phenotyping relevant to rupture risk stratification, but lacks novel boundary conditions, turbulence treatment, or validation/UQ; primarily a well-executed physiology study linking flow metrics to clinical outcomes.

Related from the AortaCFD corpus:

Cheng et al. (2025) · Characteristics of transition to turbulence in a healthy thoracic aorta using large eddy simulation (p. 6) — DOI
Khan et al. (2017) · Non-Newtonian versus numerical rheology: Practical impact of shear-thinning on the prediction of stable and unstable flows in intracranial aneurysms (p. 2) — DOI

Tier E — Imaging & WSS measurement

MRI-based CFD simulations of transient blood flow in compliant aortas using the LDDMM framework

Daiqi Lin et al. · Computer Methods and Programs in Biomedicine · 2026 · DOI

The paper applies Large Deformation Diffeomorphic Metric Mapping (LDDMM) to extract time-resolved, compliant aortic geometries from 4D Flow MRI and demonstrates that including wall motion in CFD simulations produces 14–47% differences in WSS-derived biomarkers (TAWSS, OSI) versus rigid-wall assumptions. The method is validated on healthy and thoracic aortic aneurysm cases.

Why it matters: CFD practitioners need imaging-derived boundary conditions and geometries; this work directly bridges 4D MRI acquisition to patient-specific simulations with physiologically accurate wall compliance, addressing a common source of model error in clinical hemodynamics studies.

Related from the AortaCFD corpus:

Cheng et al. (2025) · Characteristics of transition to turbulence in a healthy thoracic aorta using large eddy simulation (p. 2) — DOI
Duronio & Di Mascio (2023) · Blood flow simulation of aneurysmatic and sane thoracic aorta using OpenFOAM CFD software (p. 2) — DOI

Improving Data Quality, Image Processing, and Hemodynamic Analyses of Cardiovascular 4D Flow MRI

Federica Viola · Linköping University medical dissertations · 2026 · DOI

Thesis addresses technical barriers to clinical 4D flow MRI adoption through improved data quality (deep learning-based background phase offset correction), automated segmentation, and novel hemodynamic analysis frameworks for diastolic dysfunction assessment. Demonstrates that higher-order polynomial and learned corrections enhance flow quantification accuracy and enable efficient large-cohort processing.

Why it matters: CFD practitioners using 4D flow MRI as inlet/outlet boundary conditions or for WSS validation need robust image processing and quantification methods; automated segmentation and artifact correction directly improve data fidelity for boundary condition extraction and hemodynamic validation.

Related from the AortaCFD corpus:

Markl et al. (2012) · 4D flow MRI (p. 10) — DOI
Rispoli et al. (2015) · Computational fluid dynamics simulations of blood flow regularized by 3D phase contrast MRI (p. 2) — DOI

Hemodynamic consequences of TEVAR with different configurations of in-situ fenestration stents: a patient-specific CFD analysis

Yunpeng Ding et al. · Frontiers in Cardiovascular Medicine · 2026 · DOI

Patient-specific CFD analysis of six aortic models from three ISF-TEVAR patients compares hemodynamic effects (pressure, velocity, WSS) across different fenestration stent configurations. Results show that forward-leaning orientation and reduced stent compression minimize pressure drop and complex flow patterns, particularly in the left subclavian artery.

Why it matters: Demonstrates clinically relevant application of CFD to surgical device planning with imaging-derived geometries, though small cohort and lack of V&V/uncertainty quantification limit generalizability for CFD methodologists.

Related from the AortaCFD corpus:

Morris et al. (2016) · Computational fluid dynamics modelling in cardiovascular medicine (p. 8) — DOI
Kwon et al. (2014) · Computational fluid dynamics analysis of the blood flow in patient-specific arteries

Wall shear stress and oscillatory shear index are independently associated with complicated carotid artery plaques.

Jonathan Andrae et al. · Open Access CRIS of the University of Bern · 2026 · DOI

Prospective study of 141 patients using 3D high-resolution MRI and 4D flow MRI to quantify associations between local hemodynamics (WSS, OSI) and complicated carotid plaques (IPH, thin caps, thrombus). Elevated systolic WSS and reduced OSI independently associated with cCAP presence, independent of geometry and risk factors.

Why it matters: Directly validates WSS and OSI as hemodynamic biomarkers for plaque instability using non-invasive imaging and CFD-derived metrics, informing clinical risk stratification pipelines that depend on accurate 4D flow MRI post-processing and interpretation.

Related from the AortaCFD corpus:

Malek et al. (1999) · Hemodynamic Shear Stress and Its Role in Atherosclerosis (p. 2) — DOI
Markl et al. (2012) · 4D flow MRI (p. 15) — DOI

The effects of aging on left ventricular diastolic function evaluated with 4D flow MRI: a novel approach using mitral velocity and propagation velocity measurements.

Luz Valentina Stipechi et al. · PubMed · 2026 · DOI

This study derives diastolic function parameters (mitral inflow velocities, filling rates, propagation velocity) from 4D flow MRI in 60 healthy volunteers across an age range, validating them against echocardiography and characterizing age-related changes in LV filling. The 4D-flow-derived propagation velocity (VP_PLANE) shows stronger correlation with age and diastolic markers than conventional TTE-mimicking approaches, suggesting improved sensitivity to physiological aging.

Why it matters: CFD practitioners interested in patient-specific hemodynamic modeling and validation will value the quantitative velocity-field measurements and the demonstration that 3D streamline-based metrics outperform 2D projections—relevant for inlet BC specification and diastolic flow verification in ventricle simulations.

Related from the AortaCFD corpus:

Rispoli et al. (2015) · Computational fluid dynamics simulations of blood flow regularized by 3D phase contrast MRI (p. 2) — DOI
Swanson et al. (2020) · A patient-specific CFD pipeline using Doppler echocardiography for application in coarctation of the aorta in a limited resource clinical context (p. 3) — DOI

Hemodynamic characteristics of sigmoid sinus wall dehiscence-pulsatile tinnitus patients with normal intracranial pressure

Lanyue Chen et al. · Quantitative Imaging in Medicine and Surgery · 2026 · DOI

This case-control study uses 4D-flow MRI to characterize hemodynamic abnormalities (velocity, flow volume, wall shear stress, regurgitation fraction) in sigmoid sinus of pulsatile tinnitus patients with sigmoid sinus wall dehiscence versus healthy controls, deriving a logistic regression diagnostic model with ROC validation. The work identifies noninvasive imaging biomarkers for SSWD-related PT, linking abnormal venous hemodynamics to symptom etiology.

Why it matters: CFD researchers should note the 4D-flow MRI measurement pipeline and WSS quantification methods as an applied example of imaging-based hemodynamic phenotyping, though the paper is primarily observational imaging analysis rather than computational flow modeling.

Related from the AortaCFD corpus:

Valen-Sendstad et al. (2018) · Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge (p. 2) — DOI
Duronio & Di Mascio (2023) · Blood flow simulation of aneurysmatic and sane thoracic aorta using OpenFOAM CFD software (p. 2) — DOI

Tier F — AI, ML & digital-twin pipelines

Digital Twins in Coronary Artery Disease: A Mathematical Roadmap

Alessandro Veneziani et al. · arXiv · math.NA · 2026 · arXiv:2604.24910

This paper presents a mathematical framework for constructing patient-specific digital twins in coronary artery disease, emphasizing bidirectional coupling via data assimilation and probabilistic graphical models to estimate wall shear stress for clinical decision support. The work articulates a roadmap integrating diagnostic imaging, CFD models, and AI methodologies for personalized risk stratification and prevention.

Why it matters: Digital twin pipelines combining CFD, data assimilation, and machine learning are increasingly central to cardiovascular simulation workflows; this roadmap clarifies the mathematical infrastructure needed for clinically viable implementations, though it lacks detailed validation or algorithmic specifics.

Related from the AortaCFD corpus:

Mukherjee & others (2025) · Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine (p. 5) — DOI
He & Ku (1996) · Pulsatile Flow in the Human Left Coronary Artery Bifurcation: Average Conditions — DOI

Methodology, tier definitions and scope caveats: see the Paper Digest landing page. Classifier threshold this run: 0.5.

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