A5015599424- Cardiac Imaging and Diagnostics
- Atrial Fibrillation Management and Outcomes
- Advanced MRI Techniques and Applications
- Cardiac electrophysiology and arrhythmias
- Cardiovascular Function and Risk Factors
- Cardiac Valve Diseases and Treatments
- Cardiac Arrhythmias and Treatments
- Advanced X-ray and CT Imaging
- ECG Monitoring and Analysis
- Medical Imaging Techniques and Applications
- Atomic and Subatomic Physics Research
- Neonatal and fetal brain pathology
- Radiomics and Machine Learning in Medical Imaging
- Neuroscience and Neural Engineering
- Electrochemical Analysis and Applications
- MRI in cancer diagnosis
- Coronary Interventions and Diagnostics
- Non-Invasive Vital Sign Monitoring
- Medical Image Segmentation Techniques
- Fault Detection and Control Systems
- Osteoarthritis Treatment and Mechanisms
- Cardiovascular Disease and Adiposity
- Computational Drug Discovery Methods
- Advanced Neural Network Applications
- Photoacoustic and Ultrasonic Imaging
Imperial College London
2010-2025
Genomics England
2025
University of London
2025
St George's, University of London
2025
Genomics (United Kingdom)
2025
King's College London
2014-2024
Universidad de Alcalá
2024
Universidade de Santiago de Compostela
2024
Xunta de Galicia
2024
St Thomas' Hospital
2014-2020
In the rodent brain hemodynamic response to a brief external stimulus changes significantly during development. Analogous in human infants would complicate determination and use of function (HRF) for functional magnetic resonance imaging (fMRI) developing populations. We aimed characterize HRF before after normal time birth using rapid sampling blood oxygen level dependent (BOLD) signal. A somatosensory an event related experimental design were used collect data from 10 healthy adults, 15...
In recent years, several deep learning models have been proposed to accurately quantify and diagnose cardiac pathologies. These automated tools heavily rely on the accurate segmentation of structures in MRI images. However, right ventricle is challenging due its highly complex shape ill-defined borders. Hence, there a need for new methods handle such structure's geometrical textural complexities, notably presence pathologies as Dilated Right Ventricle, Tricuspid Regurgitation,...
The left atrium (LA) can change in size and shape due to atrial fibrillation (AF)-induced remodeling. These alterations be linked poorer outcomes of AF ablation. In this study, we propose a novel comprehensive computational analysis LA anatomy identify what features optimally predict post-ablation recurrence. To end, construct smooth 3D geometrical models from the segmentation blood pool captured pre-procedural MR images. We first apply methodology characterize 144 patients build statistical...
Accurately inferring underlying electrophysiological (EP) tissue properties from action potential recordings is expected to be clinically useful in the diagnosis and treatment of arrhythmias such as atrial fibrillation. It is, however, notoriously difficult perform. We present EP-PINNs (Physics Informed Neural Networks), a novel tool for accurate simulation EP parameter estimation sparse amounts data. demonstrate, using 1D 2D
Abstract Organs have a distinctive yet often overlooked spatial arrangement in the body 1–5 . We propose that there is logic to shape of an organ and its proximity neighbours. Here, by using volumetric scans many Drosophila melanogaster flies, we develop methods quantify three-dimensional features shape, position interindividual variability. find both shapes organs their relative are consistent differ between sexes, identify unexpected interorgan adjacencies left–right asymmetries. Focusing...
We present a technique to measure the longitudinal relaxation time constant of venous blood (T(1b) ) in vivo few seconds. The MRI sequence consists thick-slab adiabatic inversion, followed by series slice-selective excitations and single-shot echo planar imaging readouts. intervals between were chosen so that macroscopic vessels is fully refreshed excitations, making signal follow an unperturbed inversion recovery curve. Static tissue, which experiences all excitation pulses, quickly reaches...
Structural changes to the wall of left atrium are known occur with conditions that predispose Atrial fibrillation. Imaging studies have demonstrated these may be detected non-invasively. An important indicator this structural change is wall's thickness. Present commonly measured thickness at few discrete locations. Dense measurements computer algorithms possible on cardiac scans Computed Tomography (CT) and Magnetic Resonance (MRI). The task challenging as atrial a thin tissue imaging...
Catheter ablation (CA) is a common treatment for atrial fibrillation (AF), but the knowledge of optimal sites, and hence clinical outcomes, are suboptimal. Increasing evidence suggest that strategies based on patient-specific substrates information, such as distributions fibrosis wall thickness (AWT), may be used to improve therapy. We hypothesized competing influences large AWT gradients fibrotic patches conductive properties tissue can determine locations re-entrant drivers (RDs) sustaining AF.
We detail the design, construction and performance of second generation UCL time-resolved optical tomography system, known as MONSTIR II. Intended primarily for study newborn brain, system employs 32 source fibres that sequentially transmit picosecond pulses light at any four wavelengths between 650 900 nm. The detector channels each contain an independent photo-multiplier tube temporally correlated photon-counting electronics allow photon transit time position to be measured with high...
Anti-arrhythmic drug therapy is a frontline treatment for atrial fibrillation (AF), but its success rates are highly variable. This due to incomplete understanding of the mechanisms action specific drugs on substrate at different stages AF progression. We aimed elucidate role cellular, tissue and organ level heterogeneities in generation re-entrant during progression, their modulation by acute selected anti-arrhythmic drugs. To explore complex cell-to-organ mechanisms, detailed biophysical...
Although atrial fibrillation (AF) is the most common sustained arrhythmia, treatment success for this condition remains suboptimal. Information from magnetic resonance imaging (MRI) has potential to improve efficacy, but there are currently few automatic tools segmentation of atria in MR images. In study, we propose a LA-Net, multi-task network optimised simultaneously generate left and edge masks MRI. LA-Net includes cross attention modules (CAMs) enhanced decoder (EDMs) purposefully select...
Knowledge of atrial wall thickness (AWT) has the potential to provide important information for patient stratification and planning interventions in arrhythmias. To date, about AWT only been acquired post-mortem or poor-contrast computed tomography (CT) studies, providing limited coverage highly variable estimates AWT. We present a novel contrast agent-free MRI sequence imaging use it create personalized maps biatrial atlas. A black-blood phase-sensitive inversion recovery protocol was used...
The functional analysis of the left atrium (LA) is important for evaluating cardiac health and understanding diseases like atrial fibrillation. Cine MRI ideally placed detailed 3D characterization LA motion deformation but lacking appropriate acquisition tools. Here, we propose tools Analysis Left Atrial Displacements DeformatIons using online learning neural Networks (Aladdin) present a technical feasibility study on how Aladdin can characterize function globally regionally. includes an...
Arterial spin labelling (ASL) magnetic resonance imaging (MRI) enables cerebral perfusion measurement, which is crucial in detecting and managing neurological issues infants born prematurely or after perinatal complications. However, blood flow (CBF) estimation using ASL remains challenging due to the complex interplay of network physiology, involving dynamic interactions between cardiac output perfusion, as well with parameter uncertainty data noise. We propose a new spatial...
Mechanisms underlying the genesis of re-entrant substrate for most common cardiac arrhythmia, atrial fibrillation (AF), are not well understood. In this study, we develop a multi-scale three-dimensional computational model that integrates cellular electrophysiology left atrium (LA) and pulmonary veins (PVs) with respective tissue geometry fibre orientation. The latter is reconstructed in unique detail from high-resolution (approx. 70 μm) contrast micro-computed tomography data. used to...
AimsAtrial fibrillation (AF), the commonest cardiac arrhythmia, has been strongly linked with arrhythmogenic sources near pulmonary veins (PVs), but underlying mechanisms are not fully understood.We aim to study generation and sustenance of wave in a model PV tissue. Methods resultsA previously developed biophysically detailed three-dimensional canine atrial is applied.Effects AF-induced electrical remodelling introduced based on published experimental data, as changes ion channel currents...
Clinical evidence suggests a link between fibrosis in the left atrium (LA) and atrial fibrillation (AF), most common sustained arrhythmia. Image-derived is increasingly used for patient stratification therapy guidance. However, locations of re-entrant drivers (RDs) sustaining AF are unknown success rates remain suboptimal. This study image-derived LA models to explore dynamics RD stabilization fibrotic regions generate maps locations. with patient-specific geometry distribution were derived...
Alterations in cerebral blood flow (CBF) are believed to be linked many of the neurological pathologies that affect neonates and small infants. CBF measurements nonetheless often difficult perform this population, as techniques rely on radioactive tracers or other invasive methods. In study, mean global was measured 21 infants under age one, using non‐invasive MRI adapted neonatal population. Mean computed ratio delivered brain (measured phase contrast MRI) volume (computed by segmenting...
Purpose To measure cerebral blood flow (CBF) using Look–Locker arterial spin labeling (ASL) in children under 1 year of age and to investigate the advantages subject‐specific estimates ASL model parameters this population. Materials Methods Of 12 scanned infants, we successfully acquired CBF maps 7 (postmenstrual age: 32 78 weeks) a scheme both adult literature‐derived parameters. global measurements were compared with independent obtained same scanning session phase‐contrast angiography....