Advances in Hemodynamic Monitoring

Topic Information

Dear Colleagues,

We are pleased to invite you to contribute to the Topic “Advances in Hemodynamic Monitoring”. The aim of this Topic is to present recent advances in computational fluid dynamics (CFD) and numerical reconstruction techniques for hemodynamic monitoring, with particular emphasis on patient-specific modeling and analysis of vascular pathologies and endovascular prostheses. The Topic aims to promote interdisciplinary research that integrates image-based reconstructions, numerical simulations, and clinical data to improve the understanding, assessment, and monitoring of hemodynamic changes induced by endovascular devices, supporting optimized device design, treatment planning, and personalized patient management.

This work presents an integrated diagnostic framework combining artificial vascular models, flow phantoms, and advanced Computational Fluid Dynamics (CFD) techniques to improve the assessment of hemodynamic behavior under clinically relevant conditions. Patient-specific artificial vessels and experimental phantoms are developed to replicate physiological and pathological flow environments, enabling controlled validation of imaging modalities and diagnostic protocols. CFD simulations are used to quantify flow patterns, wall shear stress distributions, and pressure gradients, providing complementary insights to experimental measurements. The combined experimental–computational approach enhances the accuracy, reproducibility, and clinical relevance of non-invasive diagnostic methodologies for vascular diseases.

The work will explore the integration of advanced sensing technologies, artificial intelligence methods, phantoms, and Computational Fluid Dynamics (CFD) for the design, monitoring, and optimization of artificial vessels. Emphasis will be placed on the development of smart artificial vascular systems that combine real-time sensor data with machine learning models to predict flow behavior, detect anomalies, and improve hemodynamic performance. CFD simulations will be employed to provide precise modeling of blood flow dynamics within engineered vascular geometries.

Scope of the Topic:

This Topic will focus on numerical reconstructions and CFD-based analyses for hemodynamic monitoring, spanning methodological developments, validation studies, and translational applications. Topics of interest include, but are not limited to:

• Image-based numerical reconstruction of vascular geometries with endovascular prostheses;
• Patient-specific modeling of stents, stent-grafts, and endografts;
• Patient-specific mesh generation and model reconstruction from CT, MRI, and ultrasound data;
• CFD-based reconstruction of velocity, pressure, and wall shear stress fields;
• Inverse problems and data assimilation for hemodynamic reconstruction;
• Reconstruction of incomplete or sparse clinical flow data using numerical methods;
• Multiscale and multiphysics numerical models of systemic and microcirculatory hemodynamics;
• Reduced-order and surrogate models for rapid or real-time hemodynamic reconstruction;
• Integration of numerical reconstructions with machine learning and AI techniques;
• Validation of prosthesis-related hemodynamic reconstructions using experimental, in vitro, and clinical data;
• Applications in aneurysm repair, arterial stenosis, dissections, and post-endovascular intervention monitoring.

The Topic welcomes original research articles, technical and methodological papers, validation studies, and comprehensive reviews addressing numerical reconstruction and CFD-driven hemodynamic monitoring.

Prof. Dr. Andrzej Polanczyk
Prof. Dr. Michal Strzelecki
Prof. Dr. Aleksandra Piechota-Polanczyk
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.5	5.5	2011	16 Days	CHF 2400	Submit
Biosensors biosensors	5.6	9.8	2011	20.6 Days	CHF 2200	Submit
Diagnostics diagnostics	3.3	5.9	2011	21.6 Days	CHF 2600	Submit
Journal of Clinical Medicine jcm	2.9	5.2	2012	18.5 Days	CHF 2600	Submit
Medical Sciences medsci	4.4	8.7	2013	18.7 Days	CHF 1600	Submit
Sci sci	-	5.2	2019	26.7 Days	CHF 1400	Submit
Sensors sensors	3.5	8.2	2001	17.8 Days	CHF 2600	Submit

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