Validation of CTA-based closed-loop coronary artery flow simulations against intravascular Doppler velocity and pressure measurements

CTA-CFD simulations showed statistically significant correlations for intravascular flows and pressures, whereas no meaningful correlation was observed for velocity. These findings highlight the influence of measurement variability and modeling assumptions. Future studies should consider the inherent uncertainties in CTA-CFD, especially when estimating absolute hemodynamic parameters such as velocity and pressure, and aim to refine boundary conditions and validation strategies to improve accuracy.

Authors

Institutions

Publication Details

Journal
Computer Methods and Programs in Biomedicine
Published
2025-05-19
DOI
https://doi.org/10.1016/j.cmpb.2025.108868
Citations
3
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
6.02

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation of CTA-based closed-loop coronary artery flow simulations against intravascular Doppler velocity and pressure measurements

Ehtisham Mahmud, Belal Al Khiami, Ryan Reeves, Lawrence Ang et al.
3 citations
Computer Methods and Programs in Biomedicine
Coronary Interventions and Diagnostics
6.02
article

Validation of CTA-based closed-loop coronary artery flow simulations against intravascular Doppler velocity and pressure measurements

Ehtisham Mahmud, Belal Al Khiami, Ryan Reeves, Lawrence Ang, Alison L. Marsden, Andrew M. Kahn, Anahita Abbasnejad Seresti, Muhammad Owais Khan
article en
3 citations

Abstract

CTA-CFD simulations showed statistically significant correlations for intravascular flows and pressures, whereas no meaningful correlation was observed for velocity. These findings highlight the influence of measurement variability and modeling assumptions. Future studies should consider the inherent uncertainties in CTA-CFD, especially when estimating absolute hemodynamic parameters such as velocity and pressure, and aim to refine boundary conditions and validation strategies to improve accuracy.

Computer Methods and Programs in BiomedicineVol. 268
University of Toronto (CA), University of California San Diego (US), Toronto Metropolitan University (CA), Stanford University (US)
Natural Sciences and Engineering Research Council of Canada
Good health and well-being
Openalex Percentile: Top 4%
Coronary Interventions and Diagnostics
6.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.