VHEART · VIRTUAL HEART MODELS: MULTI-PHYSICS APPROACHES TO COMPUTATIONAL CARDIOLOGY
7РП — „Хора“ (Действия „Мария Кюри“)
- Период
- 2011-09-01 → 2015-08-31
- Финансиране от ЕС
- 100 000 €
- Участници
- 1
- Схема
- MC-CIG
Линиите свързват координатора с партньорите.
Накратко на български
Виртуални модели на сърцето анализират как химичните, електрическите и механичните процеси взаимодействат в тъканите при сърдечна недостатъчност. Тези симулации помагат за по-доброто разбиране на болестите и разработването на персонализирано лечение за всеки пациент.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
VIRTUAL HEART MODELS: MULTI-PHYSICS APPROACHES TO COMPUTATIONAL CARDIOLOGY
In the EU alone, heart disease causes over two million deaths each year. In spite of a broad spectrum 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. More importantly, the rate of deaths due to cardiac disease is expected to rise in the near future. 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 overall goal of this interdisciplinary research project is to develop multi-scale continuum mechanics models supplemented by robust and efficient computational techniques to improve the understanding of the complex bio-electro-mechanical underpinning mechanisms in cardiac function and diseases. To this end, we have developed a novel, monolithic, and unconditionally stable finite element algorithms for the mono- and bi-domain based approach to cardiac electrophysiology and electromechanics. Moreover, we have developed a coupled chemo-electro-mechanical model that allows us to predict how chemical, electrical, and mechanical fields interact across three biological scales during throughout a cardiac cycle. Pharmacological treatment of cardiac disease has advanced significantly over the past decades. Hence, the proposed algorithms and models has a great potential to open new avenues to patient specific therapy design by circumventing stability and convergence issues inherent to conventional staggered solution and to elucidation how the local biochemistry of an individual heart cell translates into global cardiac function. In addition, we have generalized the one-dimensional Hill model to the three-dimensional setting where the advantageous features of the active-stress and active-strain approaches are incorporated within a unified constitutive framework. The inherently anisotropic microstructure of cardiac tissue is accounted for in the active deformation tensor that evolves with the intracellular calcium transient. The proposed formulation is the generalization of the approaches that employ either additive stress decomposition or the split of the deformation. We anticipate our generalized Hill model to be broadly applicable to smooth muscle, skeletal muscle, and cardiac muscle and to provide sound and fundamental insight into dysregulated excitation-contraction coupling in various diseases such as gastrointestinal track disorders, vascular disorders, neuromuscular diseases, and heart disease. By using the models developed, we have started to investigate different types of heart disease related to the electrophysiology and electromechanics of the heart. For this purpose, we have considered infarction, eccentric and concentric hypertrophy as examples related to cardiac mechanics and the left bundle block and fibrillation as instances of cardiac electrophysiology. Our computational results favorably resemble the clinical findings based on pressure-volume curves and electrocardiograms. With the help of this project the fellow has established his independent research group to a large extent, disseminated the research results as several papers and conference talks, and collaborated with the leading researchers both from the EU and the US. The Grant was extremely beneficial to the fellow for his research career development and his re-integration. The dissemination activities and the basic information about the project are presented on the personal webpage of the fellow at http://users.metu.edu.tr/sgoktepe/.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
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.
Оригинален текст от CORDIS (на английски).
Участници
- MIDDLE EAST TECHNICAL UNIVERSITY · AnkaraКоординаторТурция
Връзки
Данни: CORDIS, © Европейски съюз
