Blar i NTNU Open på forfatter "Sturdy, Jacob"
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Deep Learning analysis of the LV myocardium in CCTA for identification of patients with significant coronary artery stenosis
Stubsjøen, Emil (Master thesis, 2021)For pasienter med innsnevring av moderat alvorlighetsgrad i koronararteriene må betydningen av innsnevringen defineres. I klinisk praksis gjøres dette vanligvis gjennom å måle FFR (Fractional Flow Reserve). I denne prosedyren ... -
Development and Validation of a Hemodynamic Model for Varying Exercise Intensity
Aal, Anne Øksnes (Master thesis, 2022)En diskret parametermodell som representerer den systemiske kretsen av det kardiovaskulære systemet og dens umiddelbare respons til trening er under utvikling som en del av NTNU prosjektet «My Medical Digital Twin» (MyMDT). ... -
Effect of side branch flow upon physiological indices in coronary artery disease
Gosling, Rebecca C.; Sturdy, Jacob; Morris, Paul D.; Fossan, Fredrik Eikeland; Hellevik, Leif Rune; Lawford, Patricia V.; Hose, David Rodney; Gunn, Julian P. (Peer reviewed; Journal article, 2020)Recent efforts have demonstrated the ability of computational models to predict fractional flow reserve from coronary artery imaging without the need for invasive instrumentation. However, these models include only larger ... -
Informed machine learning models to predict blood pressure curves of hypertensive individuals after cumulative physical activity
Ahlsand, Anine; Dalheim, Kari Anne (Master thesis, 2021)Denne oppgaven impementerer og analyserer modeller som predikerer blodtrykkskurver for hypertensive personer etter en periode med en gitt trening. Målet med studien var å vurdere anvendelsen av informert maskinlæring (IML) ... -
Informed machine learning models to predict blood pressure curves of hypertensive individuals after cumulative physical activity
Dalheim, Kari Anne; Ahlsand, Anine (Master thesis, 2021)Denne oppgaven impementerer og analyserer modeller som predikerer blodtrykkskurver for hypertensive personer etter en periode med en gitt trening. Målet med studien var å vurdere anvendelsen av informert maskinlæring (IML) ... -
Machine learning augmented reduced-order models for FFR-prediction
Fossan, Fredrik Eikeland; Müller, Lucas O.; Sturdy, Jacob; Bråten, Anders Tjellaug; Jørgensen, Arve; Wiseth, Rune; Hellevik, Leif Rune (Peer reviewed; Journal article, 2021)Computational predictions in cardiovascular medicine have largely relied on explicit models derived from physical and physiological principles. Recently, the application of artificial intelligence in cardiovascular medicine ... -
Parameter estimation for closed-loop lumped parameter models of the systemic circulation using synthetic data
Bjørdalsbakke, Nikolai Lid; Sturdy, Jacob; Hose, David Rodney; Hellevik, Leif Rune (Peer reviewed; Journal article, 2022)Physics-based models can be applied to describe mechanisms in both health and disease, which has the potential to accelerate the development of personalized medicine. The aim of this study was to investigate the feasibility ... -
Uncertainty quantification and sensitivity analysis for computational FFR estimation in stable coronary artery disease
Fossan, Fredrik Eikeland; Sturdy, Jacob; Muller, Lucas Omar; Strand, Andreas; Bråten, Anders Tjellaug; Jørgensen, Arve; Wiseth, Rune; Hellevik, Leif Rune (Journal article; Peer reviewed, 2018)Purpose The main objectives of this study are to validate a reduced-order model for the estimation of the fractional flow reserve (FFR) index based on blood flow simulations that incorporate clinical imaging and ... -
Uncertainty quantification and sensitivity analysis informed modeling of physical systems
Sturdy, Jacob (Doctoral theses at NTNU;2019:115, Doctoral thesis, 2019) -
Uncertainty quantification and sensitivity analysis of material parameters in crystal plasticity finite element models
Khadyko, Mikhail; Sturdy, Jacob; Dumoulin, Stephane; Hellevik, Leif Rune; Hopperstad, Odd Sture (Journal article, 2018)A number of studies have directly compared measurements of polycrystals’ deformation to the solution of a crystal plasticity model of the same polycrystal. An accurate representation of the full 3D microstructure and the ... -
Uncertainty quantification of computational coronary stenosis assessment and model based mitigation of image resolution limitations
Sturdy, Jacob; Kjernlie, Johannes Kløve; Nydal, Hallvard Moian; Eck, Vinzenz Gregor; Hellevik, Leif Rune (Journal article; Peer reviewed, 2019)Coronary artery disease is one of the leading causes of death globally. The hallmark of this disease is the occurrence of stenosed coronary arteries which reduce blood flow to the myocardium. Severely stenosed arteries can ...