A5048268703- Cardiovascular Function and Risk Factors
- Cardiac Imaging and Diagnostics
- Cardiovascular Disease and Adiposity
- Radiomics and Machine Learning in Medical Imaging
- Cardiac electrophysiology and arrhythmias
- Medical Image Segmentation Techniques
- Elasticity and Material Modeling
- Advanced X-ray and CT Imaging
- Advanced MRI Techniques and Applications
- Liver Disease Diagnosis and Treatment
- Long-Term Effects of COVID-19
- COVID-19 Clinical Research Studies
- Medical Imaging Techniques and Applications
- Biomedical Text Mining and Ontologies
- Cardiovascular Health and Disease Prevention
- Cardiomyopathy and Myosin Studies
- Circadian rhythm and melatonin
- Cardiovascular Effects of Exercise
- Pancreatitis Pathology and Treatment
- Lipoproteins and Cardiovascular Health
- Semantic Web and Ontologies
- Pulmonary Hypertension Research and Treatments
- Heart Rate Variability and Autonomic Control
- 3D Shape Modeling and Analysis
- Advanced Clustering Algorithms Research
King's College London
2019-2022
University College London
2022
University of Oxford
2011-2021
John Radcliffe Hospital
2016-2021
Oxford BioMedica (United Kingdom)
2019
Simula Research Laboratory
2017
Cardiovascular resonance (CMR) imaging is a standard modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification cardiac chamber volume, ejection fraction and myocardial mass, providing information diagnosis monitoring CVDs. However, years, clinicians have been relying on manual approaches image analysis, which time consuming prone to subjective errors. It major clinical challenge automatically derive quantitative clinically...
Cardiovascular magnetic resonance (CMR) is the gold standard method for assessment of cardiac structure and function. Reference ranges permit differentiation between normal pathological states. To date, this study largest to provide CMR specific reference left ventricular, right atrial function derived from truly healthy Caucasian adults aged 45–74. Five thousand sixty-five UK Biobank participants underwent using steady-state free precession imaging at 1.5 Tesla. Manual analysis was...
Background: Exposure to ambient air pollution is strongly associated with increased cardiovascular morbidity and mortality. Little known about the influence of pollutants on cardiac structure function. We aim investigate relationship between chronic past exposure traffic-related chamber volume, ejection fraction, left ventricular remodeling patterns after accounting for potential confounders. Methods: including particulate matter nitrogen dioxide was estimated from Land Use Regression models...
Chaste (Cancer, Heart And Soft Tissue Environment) is an open source simulation package for the numerical solution of mathematical models arising in physiology and biology. To date, development has been driven primarily by applications that include continuum modelling cardiac electrophysiology ('Cardiac Chaste'), discrete cell-based soft tissues ('Cell-based ventilation lungs ('Lung Chaste'). Cardiac addresses need a high-performance, generic, verified framework freely available to...
Background Long COVID is associated with multiple symptoms and impairment in organs. Cross-sectional studies have reported cardiac to varying degrees by methodologies. Using MR (CMR), we investigated a 12-month trajectory of abnormalities COVID. Objectives To investigate 1-year post-SARS-CoV-2 infection. Methods 534 individuals underwent CMR (T1/T2 mapping, mass, volumes, function strain) multiorgan MRI at 6 months (IQR 4.3–7.3) since first post-COVID-19 symptoms. 330 were rescanned 12.6...
The trend towards large-scale studies including population imaging poses new challenges in terms of quality control (QC). This is a particular issue when automatic processing tools such as image segmentation methods are employed to derive quantitative measures or biomarkers for further analyses. Manual inspection and visual QC each result not feasible at large scale. However, it important be able automatically detect method fails order avoid inclusion wrong measurements into subsequent...
The UK Biobank is a large-scale population-based study utilising cardiovascular magnetic resonance (CMR) to generate measurements of atrial and ventricular structure function. This aimed quantify the association between modifiable risk factors cardiac morphology function in individuals without known disease.Age, sex, ethnicity (non-modifiable) systolic blood pressure, diastolic smoking status, exercise, body mass index (BMI), high cholesterol, diabetes, alcohol intake (modifiable) were...
The associations between cardiovascular disease (CVD) risk factors and the biventricular geometry of right ventricle (RV) left (LV) have been difficult to assess, due subtle complex shape changes. We sought quantify reference RV morphology as well variations associated with common factors.
Background Handgrip strength, a measure of muscular fitness, is associated with cardiovascular (CV) events and CV mortality but its association cardiac structure function unknown. The goal this study was to determine if handgrip strength changes in UK adults. Methods results Left ventricular (LV) ejection fraction (EF), end-diastolic volume (EDV), end-systolic (ESV), stroke (SV), mass (M), mass-to-volume ratio (MVR) were measured sample 4,654 participants the Biobank Study 6.3 ± 1 years...
Diabetes mellitus (DM) is associated with increased risk of cardiovascular disease. Detection early cardiac changes before manifest disease develops important. We investigated alterations in structure and function DM using magnetic resonance imaging.Participants from the UK Biobank Cardiovascular Magnetic Resonance Substudy, a community cohort study, without known left ventricular ejection fraction ≥50% were included. Multivariable linear regression models performed. The investigators...
Both biomedical research and clinical practice rely on complex datasets for the physiological genetic characterization of human hearts in health disease. Given complexity variety approaches recordings, there is now growing recognition need to embed computational methods cardiovascular medicine science analysis, integration prediction. This paper describes a Workshop Computational Cardiovascular Science that created an international, interdisciplinary inter-sectorial forum define next steps...
Introduction Aortic distensibility can be calculated using semi-automated methods to segment the aortic lumen on cine CMR (Cardiovascular Magnetic Resonance) images. However, these require visual quality control and manual localization of region interest (ROI) ascending (AA) proximal descending (PDA) aorta, which limit analysis in large-scale population-based studies. Using 5100 scans from UK Biobank, this study sought develop validate a fully automated method 1) detect locate ROIs AA PDA,...
Abstract Aims Obstructive hypertrophic cardiomyopathy (oHCM) is characterized by dynamic obstruction of the left ventricular (LV) outflow tract (LVOT). Although this may be mediated interplay between hypertrophied septal wall, systolic anterior motion mitral valve, and papillary muscle abnormalities, mechanistic role LV shape still not fully understood. This study sought to identify end-diastolic morphology underpinning oHCM. Methods results Cardiovascular magnetic resonance images from 2398...
Tissue microstructure, in particular the alignment of myocytes (fibre direction) and their lateral organisation into sheets, is fundamental to cardiac function. We studied effect microstructure on contraction a computational model rat left ventricular electromechanics. Different fibre models, globally rule-based or locally optimised DT-MRI data, were compared, order understand whether subject-specific would enhance predictive power our with respect global ones. also impact sheets deformation...
Background The effect of menopausal hormone therapy (MHT)–previously known as replacement therapy–on cardiovascular health remains unclear and controversial. This cross-sectional study examined the impact MHT on left ventricular (LV) atrial (LA) structure function, alterations in which are markers subclinical disease, a population-based cohort. Methods Post-menopausal women who had never used those ≥3 years participating UK Biobank undergone magnetic resonance (CMR) imaging free disease were...
Recent advances in deep learning based image segmentation methods have enabled real-time performance with human-level accuracy. However, occasionally even the best method fails due to low quality, artifacts or unexpected behaviour of black box algorithms. Being able predict quality absence ground truth is paramount importance clinical practice, but also large-scale studies avoid inclusion invalid data subsequent analysis. In this work, we propose two approaches automated control for...