H2020Индивидуална стипендия2015–2017

DTI4micro · Quantitative characterization of cardiac tissue microstructure from Diffusion Tensor Imaging

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2015-09-01 → 2017-08-31
Финансиране от ЕС: 195 455 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Микроструктурата на сърдечния мускул се анализира чрез данни от магнитен резонанс, за да се създадат персонализирани компютърни модели на сърцето. Тези симулации помагат за разбирането на сърдечните заболявания и предвиждането на ефекта от лекарства при конкретен пациент.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Quantitative characterization of cardiac tissue microstructure from Diffusion Tensor Imaging

Cardiac ventricular remodelling is the alteration of tissue microstructure and cardiac muscle structure and is a key factor for several cardiac diseases having profound effects on cardiac function. Nowadays, Cardiac Magnetic Resonance (CMR) is the gold-standard technique to assess in-vivo the heart structure and microstructure. This project has investigated advanced analytical tools to quantify and evaluate the heart structure and microstructure from CMR data and to investigate heart function in modern in-silico biophysical electrophysiological (EP) models. More specifically, we investigated how to characterize and incorporate quantitative characteristics of subject-specific CMR records in a cardiac function for EP simulations. CMR techniques provide information in a non-invasive manner including multiple structural, tissue microstructure, and functional parameters. In my research, we focused on the use of standard CMR protocols for the subject-specific characterization of structure and microstructure of the heart. Additionally, we have developed a methodology for reconstructing the anatomy of the whole torso allowing the simulation of the electrocardiogram by placing virtual electrodes on the torso, and for comparing simulation results to recordings of the electrographic (ECG) signal. Simulations of virtual hearts present a framework for the interpretation of medical data, allowing the assessment of biological hypothesis. In addition, they can be used to predict outcomes under simulated conditions such as cardiac or physiological dysfunctions, remodeling of the cardiac tissue, or drug treatments. The methods developed here will allow patient-specific structural, microstructural, and functional information of the heart from standard scans to be introduced in model personalization, providing a key step in their eventual application to routine clinical practice. Summarizing, the achieved scientific objectives were: - To develop techniques to accurately quantify macro- and microstructure of the heart tissue from CMR data valid for single subjects as well as for statistical analysis of populations. - To develop a computational framework to personalize EP cardiac models from CMR data at the macro- and microstructural levels and to build personalized anatomies of the body surface allowing the evaluation of the EP simulation by direct comparison with ECG recordings. - To investigate the use of personalized EP models in control and disease conditions, with a particular focus on macro- and microstructural cardiac diseases such as hypertrophic cardiomyopathy (HCM).

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Cardiac Ventricular Remodelling (VR), i.e. the alteration of tissue microstructure that is a hallmark of several cardiac diseases, can have profound effects on cardiac function. A novel imaging technique, Diffusion Tensor Imaging (DTI) offers the potential to quantify VR in vivo and could thus have a significant impact on the assessment and treatment of cardiac disease. This project proposes the development of advanced analytical tools to evaluate its usability in the quantitative characterization of cardiac microstructure. The tools developed will aim at a) providing a mathematical description of normality in cardiac microstructure; and b) analysing local variation as an alternative descriptor for remodelling. A combination of preclinical and clinical validation will be performed, with histological slices used as ground truth for the identification of microstructural features. Emphasis will be placed on the development and application of a rigorous mathematical framework for the processing of tensor fields, including the quantification of local differences between tensors and the construction of statistical models for the quantification of pathology.The project joins an early researcher with extensive expertise in the statistical analysis of manifold-value data and its uses in medical imaging with an internationally recognized group in the analysis of cardiac microstructure and its links to electromechanical function. The host group has a network of collaborators including all relevant areas, from MRI physics to cardiac physiology. The program also includes the provision of further training opportunities for the applicant in different aspects from student supervision to preparation of research proposals, representing a unique opportunity for his development as an independent researcher.

Оригинален текст от CORDIS (на английски).

Участници

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD · OxfordКоординаторОбединеното кралство