Virtual Heart Models: Multi-Physics Approaches to Computational Cardiology (VHEART)

Download

CORDIS_294161_FactSheet.pdf
CORDIS_294161_Report.pdf

Date

2015-8-31

Author

Göktepe, Serdar

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

181
views

58
downloads

Heart disease is the number one cause of death in industrialized nations. Despite the broad class of treatment techniques such as medication, surgery and tissue-engineered therapies, heart disease remains to be one of the most frequent, disabling, and life-threatening diseases. In Europe it accounts for almost half of overall annual mortality rate. In the European Union (EU) alone, cardiovascular disease causes over 2 million deaths per year. The cost of cardiovascular disease to the EU economy is €192 billion per year. As opposed to the traditional trial-and-error based therapies, a systematic, personalized simulation-aided approach offers a great potential for understanding, diagnosing, and treating heart failure through the sound understanding of functional and structural changes in the infarcted tissue and the computational tools of multi-scale solid mechanics. The proposed research aims: (1) to develop multi-scale models of computational cardiac electrophysiology, (2) to model the fully coupled electromechanics of the heart through a novel micro-structurally based kinematic approach, (3) to couple the electromechanical computational tool with the ionic models of cardiac electrophysiology, (4) to employ the new multi-scale tools of computational cardiology to explore the underlying complex mechanisms of heart diseases and thereby guide personalized cardiac therapies. The anticipated outcomes are: (A) a multi-scale computational electrophysiological tool that incorporates multi-physics ionic models in the implicit bidomain framework, (B) a better understanding of underlying physiological reasons for electrophysiological cardiac disease such as arrhythmia, left and right bundle blocks, (C) a novel, micro-structurally based, computationally efficient, modular electromechanical computational tool, (D) a virtual test environment for the patient-specific optimization of cardiac therapies and surgical procedures.

Subject Keywords

Virtual heart model, Heart disease, Multiscale modelling, Cardiac muscl, Treatment regime

URI

https://cordis.europa.eu/project/id/294161
https://hdl.handle.net/11511/58253

Collections

Department of Civil Engineering, Project and Design

Suggestions

OpenMETU
Core

Selenium alters the lipid content and protein profile of rat heart: An FTIR micro spectroscopic study Toyran, Neslihan; Turan, Belma; Severcan, Feride (Elsevier BV, 2007-02-15) Cardiovascular disease is one of the most important causes of morbidity and mortality in Western countries. In addition, it is well documented that selenium (Se) deficiency has been linked to cardiovascular diseases. This study was undertaken to present the effect of sodium selenite on left and right myocardia, and small veins of normal control rat heart at molecular level by using Fourier transform infrared (FTIR) microspectroscopy. The results mainly reveal that, Se treatment causes an increase in lipid c...
Statistical estimation applied to electrocardiographic imaging Serinağaoğlu Doğrusöz, Yeşim (2019-05-01) Cardiovascular diseases are among the leading causes of death all over the world. Researchers have been extensively working on methods for early diagnosis and treatment of these diseases, with the goal of decreasing these death tolls. In Electrocardiographic Imaging (ECGI), the electrical activity of the heart is estimated from electrocardiographic measurements obtained from the body surface, using densely distributed electrodes, and a mathematical model of the body. This technique has advantages over class...
A Novel method for the quantification of coronary artery stenosis: a 2D QCA system Demiray, Muharrem; Serinağaoğlu Doğrusöz, Yeşim; Ulus, Ahmet Tulga; Department of Electrical and Electronics Engineering (2015) According to reports published by WHO, vascular diseases are leading cause of death and it is very widespread in both developing and developed countries. Therefore, diagnosis of coronary artery diseases plays an important role on health of the whole world. Although there exist many different imaging modalities used for coronary artery imaging like CTA, DSA and MRI, the most commonly used imaging modality in clinics is XRA. Using XRA images, interventional cardiologists give a decision about the treatment pl...
Nanopatterned tubular collagen scaffolds for vascular tissue engineering Zorlutuna, Pınar; Hasırcı, Vasıf Nejat; Department of Biotechnology (2009) One of the major causes of death in developed countries is cardiovascular disease that affects small and medium sized blood vessels. In most cases autologous grafts have to be used which have limited availability. A functional tissue engineered vessel can be the ultimate solution for vascular reconstruction. Tissue engineered constructs with cells growing in an organized manner have been shown to have improved mechanical properties. In the present study collagen scaffolds with 650 nm, 500 nm and 332.5 nm wi...
Comparison of five regularization methods for the inverse electrocardiography problem Güçlü, Alperen; Serinağaoğlu Doğrusöz, Yeşim; Department of Electrical and Electronics Engineering (2013) Understanding heart’s electrical activity is very important because coronary problems -such as heart attacks, arrhythmia and stroke- are the leading cause of death in the world. Forward and inverse problems of electrocardiography (ECG) are methods that provide detailed information about the electrical activity of the heart. Forward problem of electrocardiography is the estimation of body surface potentials from equivalent cardiac sources. Inverse problem of electrocardiography can be described as estimation...

Citation Formats

S. Göktepe, “Virtual Heart Models: Multi-Physics Approaches to Computational Cardiology (VHEART),” 2015. Accessed: 00, 2020. [Online]. Available: https://cordis.europa.eu/project/id/294161.