Towards patient-specific cardiovascular modeling system using the immersed boundary technique.
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...
| Published in: | BioMedical Engineering OnLine Vol. 10; no. 1; pp. 52 - 69 |
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| Main Authors: | , , , , , , , |
| Format: | research Journal Article |
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BioMed Central
2011
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=63884105&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 63884105 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1475925X 1CGX jtl: BioMedical Engineering OnLine issn: 1475925X maglogo: N pubinfo: dt: 2011 vid: 10 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 63884105 63884105 NLM21682851 63884105 10.1186/1475-925X-10-52 NLM21682851 63884105 ppf: 52 ppct: 17 formats: tig: atl: Towards patient-specific cardiovascular modeling system using the immersed boundary technique. aug: au: Wee-Beng Tay Yu-Heng Tseng Liang-Yu Lin Wen-Yih Tseng Tay, Wee-Beng Tseng, Yu-Heng Lin, Liang-Yu Tseng, Wen-Yih affil: High Performance Computing & Environmental Fluid Dynamic Laboratory, Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan sug: subj: Models, Biological Cardiovascular System Metabolism Heart Diseases Diagnosis Physiochemical Phenomena Image Interpretation, Computer Assisted Methods Adult Human Pressure Heart Ventricle Metabolism Computer Simulation Magnetic Resonance Imaging Methods Female Blood Flow Velocity Physiology Kinetics Hemodynamics Comparative Studies Multicenter Studies Evaluation Research Validation Studies Scales Adult: 19-44 years Female ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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