A5015853374- Cardiovascular Function and Risk Factors
- Elasticity and Material Modeling
- Advanced MRI Techniques and Applications
- Cardiac Valve Diseases and Treatments
- Mathematical Biology Tumor Growth
- Cardiac Imaging and Diagnostics
- Ultrasound Imaging and Elastography
- Cancer, Hypoxia, and Metabolism
- Particle Dynamics in Fluid Flows
- Surgical Simulation and Training
- Stock Market Forecasting Methods
- Energy Load and Power Forecasting
- Cardiac Structural Anomalies and Repair
- Angiogenesis and VEGF in Cancer
- Aortic Disease and Treatment Approaches
- Hydrological Forecasting Using AI
- Cardiomyopathy and Myosin Studies
- Cancer Cells and Metastasis
- Augmented Reality Applications
- Cancer Genomics and Diagnostics
- Head and Neck Cancer Studies
- Advanced Numerical Methods in Computational Mathematics
- Computational Drug Discovery Methods
- Dust and Plasma Wave Phenomena
- Cellular Mechanics and Interactions
University of Cyprus
2018-2024
King's College London
2014-2021
St Thomas' Hospital
2014-2016
Advances in medical imaging and image processing are paving the way for personalised cardiac biomechanical modelling. Models provide capacity to relate kinematics dynamics and—through patient-specific modelling—derived material parameters underlying muscle pathologies. However, clinical utility be achieved, model-based analyses mandate robust model selection parameterisation. In this paper, we introduce a left ventricle aiming balance fidelity with parameter identifiability. Using...
Introduction: Innovations in 3D spatial technology and augmented reality imaging driven by digital high-tech industrial science have accelerated experimental advances breast cancer the development of medical procedures aimed to reduce invasiveness. Presentation case: A 57-year-old post-menopausal woman presented with screen-detected left-sided cancer. After undergoing all staging pre-operative studies patient was proposed for conservative surgery tumor localization. During surgery, an...
Understanding the biomechanics of heart in health and disease plays an important role diagnosis treatment failure. The use computational biomechanical models for therapy assessment is paving way personalized treatment, relies on accurate constitutive equations mapping strain to stress. Current state-of-the art account nonlinear anisotropic stress-strain response cardiac muscle using hyperelasticity theory. While providing a solid foundation understanding tissue, most current laws neglect...
An unresolved issue in patient-specific models of cardiac mechanics is the choice an appropriate constitutive law, able to accurately capture passive behavior myocardium, while still having uniquely identifiable parameters tunable from available clinical data. In this paper, we aim facilitate by examining practical identifiability and model fidelity laws often used mechanics. Our analysis focuses on use novel 3D tagged MRI, providing detailed displacement information three dimensions. The...
We present a framework for combining cardiac motion atlas with non-motion data. The represents cycle across number of subjects in common space based on rich descriptors capturing 3D displacement, velocity, strain and rate. data are derived from variety sources such as imaging, electrocardiogram (ECG) clinical reports. Once the space, we apply novel supervised learning approach random projections ensemble to learn relationship between some desired output. our problem predicting response...
Patient-specific modelling has emerged as a tool for studying heart function, demonstrating the potential to provide non-invasive estimates of tissue passive stiffness. However, reliable use model-derived stiffness requires sufficient model accuracy and unique estimation parameters. In this paper we present personalised models cardiac mechanics, focusing on improving accuracy, while ensuring parametrisation. The influence principal uncertainties parameter identifiability was systematically...
The Lagrange Multiplier (LM) and penalty methods are commonly used to enforce incompressibility compressibility in models of cardiac mechanics. In this paper we show how both formulations may be equivalently thought as a weakly penalized system derived from the statically condensed Perturbed Lagrangian formulation, which directly discretized maintaining simplicity with convergence characteristics LM techniques. A modified Shamanskii-Newton-Raphson scheme is introduced enhance nonlinear and,...
Supported by the wide range of available medical data available, cardiac biomechanical modeling has exhibited significant potential to improve our understanding heart function and assisting in patient diagnosis treatment. A critical step towards development accurate patient-specific models is deployment boundary conditions capable integrating into model enhance fidelity. This often hindered sparse or noisy that, if applied directly, can introduce non-physiological forces artifacts model. To...
The effectiveness of chemotherapy in cancer cell regression is often limited by drug resistance, toxicity, and neoplasia heterogeneity. However, due to the significant complexities entailed many growth processes, predicting impact interference symmetry-breaking mechanisms a difficult problem. To quantify understand more about pharmacodynamics, we combine vitro with silico models. anti-proliferative action selected cytostatics interrogated on human colorectal breast adenocarcinoma cells,...
Characterisation of soft tissue mechanical properties is a topic increasing interest in translational and clinical research. Magnetic resonance elastography (MRE) has been used this context to assess the tissues vivo noninvasively. Typically, these analyses rely on linear viscoelastic wave equations material from measured dynamics. However, deformations that occur some (e.g. liver during respiration, heart cardiac cycle, or external compression breast exam) can yield loading bias,...
We developed an in silico approach to model B16F10 melanoma cell response a helium atmospheric pressure plasma jet (APPJ) or/and doxorubicin drug (DOX). The is informed by relevant data from previously published vitro experiments (cancer viability), providing detailed information on (i) population number (Ncell) development during incubation and (ii) probability values for apoptosis (%PApoptosis) mitosis (%PMitosis) following subjection the plasma-conditioned RPMI-1640 medium (PC-RPMI), DOX,...
Abnormal cardiac motion can indicate different forms of disease, which manifest at spatial scales in the myocardium. Many studies have sought to characterise particular abnormalities associated with specific diseases, and utilise information improve diagnoses. However, importance scale analysis deformation has not been extensively investigated. We build on recent work myocardial strains using a atlas find optimal for estimating biomarkers. apply multi-scale strain 43 patient cohort...
Abstract Ventricular-vascular interaction is central in the adaptation to cardiovascular disease. However, cardiomyopathy patients are predominantly monitored using cardiac biomarkers. The aim of this study therefore explore aortic function dilated (DCM). Fourteen idiopathic DCM and 16 controls underwent magnetic resonance imaging, with relative pressure derived physics-based image processing a virtual cohort utilized assess impact properties on behaviour. Subjects reduced left ventricular...
High dose-rate brachytherapy presents a promising therapeutic avenue for prostate cancer management, involving the temporary implantation of catheters which deliver radioactive sources to cancerous site. However, as puncture and penetrate prostate, tissue deformation is evident may affect accuracy efficiency treatment. In this work, data-driven
Radiation-induced pulmonary fibrosis (RIPF) is a severe late-stage complication of radiotherapy (RT) to the chest area, typically used in lung cancer treatment. This condition characterized by gradual and irreversible replacement healthy tissue with fibrous scar tissue, leading decreased function, reduced oxygen exchange critical respiratory deficiencies. Currently, predicting managing post-RT remains challenging, limited preventive treatment options. Accurate prediction onset progression...
Solid tumour growth is often associated with the accumulation of mechanical stresses acting on surrounding host tissue. Due to tissue nonlinearity, shear modulus peri-tumoural region inherits a signature from expansion which depends multiple factors, including soft constitutive behaviour and its stress/strain state. Shear waves used in MR-elastography (MRE) sense apparent change along their propagation direction, thereby probing anisotropic stiffness field around tumour. We developed an...