A5058150176- Cardiovascular Function and Risk Factors
- Advanced MRI Techniques and Applications
- Cardiovascular Health and Disease Prevention
- Congenital Heart Disease Studies
- Health, Environment, Cognitive Aging
- Cardiac Imaging and Diagnostics
Linköping University
2022-2025
Abstract Subject-specific parameters in lumped hemodynamic models of the cardiovascular system can be estimated using data from experimental measurements, but parameter estimation may hampered by variability input data. In this study, we investigate influence inter-sequence, intra-observer, and inter-observer on subject-specific model a previously developed approach for model-based analysis 4D Flow MRI acquisitions cuff pressure measurements. The investigated describe left ventricular...
ABSTRACT One of the more interesting ideas for achieving personalized, preventive, and participatory medicine is concept a digital twin. A twin personalized computer model patient. So far, twins have been constructed using either mechanistic models, which can simulate trajectory physiological biochemical processes in person, or machine learning example be used to estimate risk having stroke given cross-section profile at timepoint. These two modelling approaches complementary strengths...
Type 2 diabetes (T2D) and hypertension increase the risk of cardiovascular diseases mediated by whole-body changes to metabolism, structure haemodynamics. The haemodynamic related T2D are complex subject-specific, however, not fully understood. We aimed investigate mechanisms in comparing haemodynamics between healthy controls subjects with T2D, hypertension, or both. For all subjects, we combined 4D flow magnetic resonance imaging data, brachial blood pressure a mathematical model create...
Subject-specific parameters in lumped hemodynamic models of the cardiovascular system can be estimated using data from experimental measurements, but parameter estimation may hampered by variability input data. In this study, we investigate influence inter-sequence, intra-observer, and inter-observer on subject-specific model a previously developed approach for model-based analysis 4D Flow MRI acquisitions cuff pressure measurements. The describe left ventricular time-varying elastance...
Abstract Cardiovascular digital twins and mechanistic models can be used to obtain new biomarkers from patient-specific hemodynamic data. However, such model-derived are only clinically relevant if the variation between timepoints/patients is smaller than uncertainty of biomarkers. Unfortunately, this challenging calculate, as underlying data largely unknown has several sources that not additive or normally distributed. This violates normality assumptions current methods; implying also have...