Please use this identifier to cite or link to this item: https://doi.org/10.1186/1475-925X-10-52
Title: Towards patient-specific cardiovascular modeling system using the immersed boundary technique
Authors: Tay, W.-B 
Tseng, Y.-H
Lin, L.-Y
Tseng, W.-Y
Keywords: Cardiovascular models
Immersed boundary technique
Patient specific
Cardiac health
CFD models
Clinical data
Comprehensive analysis
Early diagnosis
Elastic boundary
Experimental data
Flow dynamics
Flow features
Heart model
Hybrid computational
Immersed boundary methods
Immersed boundary technique
Left ventricles
Modeling systems
Pulmonary veins
Reservoir pressures
Time-resolved
Diagnosis
Flow rate
Heart
Hybrid systems
Magnetic resonance imaging
Resonance
Three dimensional
Turbulent flow
Computational fluid dynamics
adult
article
biological model
blood flow velocity
cardiovascular system
comparative study
computer assisted diagnosis
computer simulation
evaluation
female
heart disease
heart ventricle
hemodynamics
human
hydrodynamics
kinetics
metabolism
methodology
nuclear magnetic resonance imaging
physiology
pressure
Adult
Blood Flow Velocity
Cardiovascular System
Computer Simulation
Female
Heart Diseases
Heart Ventricles
Hemodynamics
Humans
Hydrodynamics
Image Interpretation, Computer-Assisted
Kinetics
Magnetic Resonance Imaging
Models, Cardiovascular
Pressure
Issue Date: 2011
Citation: Tay, W.-B, Tseng, Y.-H, Lin, L.-Y, Tseng, W.-Y (2011). Towards patient-specific cardiovascular modeling system using the immersed boundary technique. BioMedical Engineering Online 10 (1) : 52. ScholarBank@NUS Repository. https://doi.org/10.1186/1475-925X-10-52
Rights: Attribution 4.0 International
Abstract: Background: Previous research shows that the flow dynamics in the left ventricle (LV) reveal important information about cardiac health. This information can be used in early diagnosis of patients with potential heart problems. The current study introduces a patient-specific cardiovascular-modelling system (CMS) which simulates the flow dynamics in the LV to facilitate physicians in early diagnosis of patients before heart failure. Methods: The proposed system will identify possible disease conditions and facilitates early diagnosis through hybrid computational fluid dynamics (CFD) simulation and time-resolved magnetic resonance imaging (4-D MRI). The simulation is based on the 3-D heart model, which can simultaneously compute fluid and elastic boundary motions using the immersed boundary method. At this preliminary stage, the 4-D MRI is used to provide an appropriate comparison. This allows flexible investigation of the flow features in the ventricles and their responses. Results: The results simulate various flow rates and kinetic energy in the diastole and systole phases, demonstrating the feasibility of capturing some of the important characteristics of the heart during different phases. However, some discrepancies exist in the pulmonary vein and aorta flow rate between the numerical and experimental data. Further studies are essential to investigate and solve the remaining problems before using the data in clinical diagnostics. Conclusions: The results show that by using a simple reservoir pressure boundary condition (RPBC), we are able to capture some essential variations found in the clinical data. Our approach establishes a first-step framework of a practical patient-specific CMS, which comprises a 3-D CFD model (without involving actual hemodynamic data yet) to simulate the heart and the 4-D PC-MRI system. At this stage, the 4-D PC-MRI system is used for verification purpose rather than input. This brings us closer to our goal of developing a practical patient-specific CMS, which will be pursued next. We anticipate that in the future, this hybrid system can potentially identify possible disease conditions in LV through comprehensive analysis and facilitates physicians in early diagnosis of probable cardiac problems. © 2011 Tay et al; licensee BioMed Central Ltd.
Source Title: BioMedical Engineering Online
URI: https://scholarbank.nus.edu.sg/handle/10635/181633
ISSN: 1475925X
DOI: 10.1186/1475-925X-10-52
Rights: Attribution 4.0 International
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