A5048207450- Advanced Neuroimaging Techniques and Applications
- Long-Term Effects of COVID-19
- Functional Brain Connectivity Studies
- Intracerebral and Subarachnoid Hemorrhage Research
- Acute Ischemic Stroke Management
- Advanced MRI Techniques and Applications
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Medical Image Segmentation Techniques
- Osteoarthritis Treatment and Mechanisms
- COVID-19 and Mental Health
- Neuroinflammation and Neurodegeneration Mechanisms
- Atomic and Subatomic Physics Research
- Olfactory and Sensory Function Studies
- Intensive Care Unit Cognitive Disorders
- Brain Tumor Detection and Classification
- Fetal and Pediatric Neurological Disorders
- Nuclear Physics and Applications
- Obstructive Sleep Apnea Research
- Infectious Encephalopathies and Encephalitis
- Vascular Malformations Diagnosis and Treatment
- Ovarian function and disorders
- Hypothalamic control of reproductive hormones
- Data Mining Algorithms and Applications
- Respiratory Support and Mechanisms
- Machine Learning in Healthcare
Wellcome Centre for Integrative Neuroimaging
2020-2025
University of Oxford
2020-2024
John Radcliffe Hospital
2024
Nottingham Biomedical Research Centre
2020-2023
Queen's Medical Centre
2020-2023
University of Nottingham
2016-2023
There is strong evidence of brain-related abnormalities in COVID-19
BackgroundThe medium-term effects of Coronavirus disease (COVID-19) on organ health, exercise capacity, cognition, quality life and mental health are poorly understood.MethodsFifty-eight COVID-19 patients post-hospital discharge 30 age, sex, body mass index comorbidity-matched controls were enrolled for multiorgan (brain, lungs, heart, liver kidneys) magnetic resonance imaging (MRI), spirometry, six-minute walk test, cardiopulmonary test (CPET), life, cognitive assessments.FindingsAt 2–3...
Abstract There is strong evidence for brain-related abnormalities in COVID-19 1–13 . It remains unknown however whether the impact of SARS-CoV-2 infection can be detected milder cases, and this reveal possible mechanisms contributing to brain pathology. Here, we investigated changes 785 UK Biobank participants (aged 51–81) imaged twice, including 401 cases who tested positive with between their two scans, 141 days on average separating diagnosis second scan, 384 controls. The availability...
Abstract Background The medium-term effects of Coronavirus disease (COVID-19) on multiple organ health, exercise capacity, cognition, quality life and mental health are poorly understood. Methods Fifty-eight COVID-19 patients post-hospital discharge 30 comorbidity-matched controls were prospectively enrolled for multiorgan (brain, lungs, heart, liver kidneys) magnetic resonance imaging (MRI), spirometry, six-minute walk test, cardiopulmonary test (CPET), life, cognitive assessments. Findings...
Abstract While diffusion MRI is typically used to estimate microstructural properties of tissue in volumetric elements (voxels), more specificity can be obtained by separately modelling the individual fibre populations within a voxel. In context cross-subjects modelling, these fixel-based analyses are usually performed two stages. Crossing-fibre first each subject produce fixels, and subsequently modelled across subjects following registration population reassignment. Here, we introduce new...
SARS-CoV-2 infection has been shown to damage multiple organs, including the brain. Multiorgan MRI can provide further insight on repercussions of COVID-19 organ health but requires a balance between richness and quality data acquisition total scan duration. We adapted UK Biobank brain protocol produce high-quality images while being suitable as part post-COVID-19 multiorgan exam. The analysis pipeline, also from Biobank, includes new imaging-derived phenotypes (IDPs) designed assess...
Introduction Magnetic resonance imaging (MRI) of the brain could be a key diagnostic and research tool for understanding neuropsychiatric complications COVID-19. For maximum impact, multi-modal MRI protocols will needed to measure effects SARS-CoV-2 infection on by diverse potentially pathogenic mechanisms, with high reliability across multiple sites scanner manufacturers. Here we describe development such protocol, based upon UK Biobank, its validation travelling heads study. A protocol...
Cerebral microbleeds (CMBs) are associated with white matter damage, and various neurodegenerative cerebrovascular diseases. CMBs occur as small, circular hypointense lesions on T2*-weighted gradient recalled echo (GRE) susceptibility-weighted imaging (SWI) images, hyperintense quantitative susceptibility mapping (QSM) images due to their paramagnetic nature. Accurate automated detection of would help determine biomarkers (e.g., CMB count) large datasets. In this work, we propose a fully...
Abstract We present MMORF—FSL’s MultiMOdal Registration Framework—a newly released nonlinear image registration tool designed primarily for application to magnetic resonance imaging (MRI) images of the brain. MMORF is capable simultaneously optimising both displacement and rotational transformations within a single framework by leveraging rich information from multiple scalar tensor modalities. The regularisation employed in promotes local rigidity deformation, we have previously...
Abstract Anatomical magnetic resonance imaging (MRI) templates of the brain are essential to group-level analyses and image processing pipelines, as they provide a reference space for spatial normalisation. While it has become common studies acquire multimodal MRI data, many still limited one type modality, usually either scalar or tensor based. Aligning each modality in isolation does not take full advantage available complementary information, such strong contrast between tissue types...
Cerebral microbleeds (CMBs) appear as small, circular, well defined hypointense lesions of a few mm in size on T2*-weighted gradient recalled echo (T2*-GRE) images and enhanced susceptibility weighted (SWI). Due to their small size, contrast variations other mimics (e.g., blood vessels), CMBs are highly challenging detect automatically. In large datasets the UK Biobank dataset), exhaustively labelling manually is difficult time consuming. Hence it would be useful preselect candidate CMB...
Abstract The hypothalamus, pituitary gland and olfactory bulbs are neuroanatom-ical structures key to the regulation of endocrine system. Variation in their anatomy can affect function reproductive To investigate this relationship, we extracted four largely unexplored phenotypes from 34,834 individuals within UK Biobank by quantifying volume using multi-modal magnetic resonance imaging. Genome-wide associ-ation studies these identified 66 independent common genetic associations with...
ABSTRACT SARS-CoV-2 infection has been shown to damage multiple organs, including the brain. Multiorgan MRI can provide further insight on repercussions of COVID-19 organ health but requires a balance between richness and quality data acquisition total scan duration. We adapted UK Biobank brain protocol produce high-quality images while being suitable as part post-COVID-19 multiorgan exam. The analysis pipeline, also from Biobank, includes new imaging-derived phenotypes (IDPs) designed...
Abstract Purpose To evaluate the performance of an ensemble learning approach for fully automated cartilage segmentation on knee magnetic resonance images patients with osteoarthritis. Materials and Methods This retrospective study 88 participants osteoarthritis involved three-dimensional (3D) double echo steady state (DESS) MR imaging volumes manual segmentations 6 different compartments (Data available from Osteoarthritis Initiative). We propose to boost sensitivity our deep method by...
Abstract Cerebral microbleeds (CMBs) are associated with white matter damage, various neu-rodegenerative and cerebrovascular diseases. CMBs occur as small, circular hypointense lesions on T2*-weighted gradient recalled echo (GRE) susceptibility weighted imaging (SWI) images, hyperintense quantitative mapping (QSM) images due to their paramagnetic nature. Accurate detection of would help determine the CMB lesion count distribution, which be further useful understand clinical impact obtain...
<b>Introduction:</b> 129Xe-MRI is a technique developed to enhance the applicability of MRI in lung imaging. <b>Aim:</b> We aimed assess inter- & intra-individual variability signal noise ratio (SNR) as measure reproducibility 129Xe-MR healthy volunteers (HV). <b>Method</b> This was single centre observational study. Hyperpolarised 129Xe produced using GE 2000 polariser. All imaging performed on 1.5T HDx scanner. HV received 1L hyperpolarized inhalational contrast agent. SNR calculated...
Abstract Cerebral microbleeds (CMBs) appear as small, circular, well defined hypointense lesions of a few mm in size on T2*-weighted gradient recalled echo (T2*-GRE) images and enhanced susceptibility weighted (SWI). Due to their small size, contrast variations other mimics (e.g. blood vessels), CMBs are highly challenging detect automatically. In large datasets the UK Biobank dataset), exhaustively labelling manually is difficult time consuming. Hence it would be useful preselect candidate...
ABSTRACT While diffusion MRI is typically used to estimate microstructural properties of tissue in volumetric elements (voxels), more specificity can be obtained by separately modelling the individual fibre populations within a voxel. In context cross-subjects modelling, these so-called fixel-based analyses require identifying equivalent populations. This usually done post-hoc, after estimating orientations for subjects independently and subsequently matching fixels between subjects....
Abstract We present MMORF—FSL’s MultiMOdal Registration Framework—a newly released nonlinear image registration tool designed primarily for application to MRI images of the brain. MMORF is capable simultaneously optimising both displacement and rotational transformations within a single framework by leveraging rich information from multiple scalar tensor modalities. The regularisation employed in promotes local rigidity deformation, we have previously demonstrated how this effectively...
Abstract Anatomical MRI templates of the brain are essential to group-level analyses and image processing pipelines, as they provide a reference space for spatial normalisation. While it has become common studies acquire multimodal data, many still limited one type modality, usually either scalar or tensor-based. Aligning each modality in isolation does not take full advantage available complementary information, such strong contrast between tissue types structural images, axonal...
<h3>Introduction</h3> The diaphragm is the most important respiratory muscle, and dysfunction causes significant symptoms including breathlessness. Under diagnosis of abnormal movement a clinical problem. Pulmonary function tests ultrasound are main diagnostic tools used but these may be insensitive to pathology. <h3>Aim</h3> To assess impact posture on morphology in adult healthy volunteers using an upright MRI system. <h3>Method</h3> Healthy with no history disease or smoking were...
<b>Introduction and Aim:</b> Conventional cross-sectional imaging is limited in assessing diaphragm function. The aim was to assess change volume under the dome (VuD) lateral extension of with posture breathing people bilateral palsy (BDP) using an upright MRI system. <b>Method:</b> MR images were acquired on a 0.5T supine positions during 10-seconds breath-holds at end-inspiration end-expiration. <b>Result:</b> 10 healthy volunteers (HV) 5 patients BDP scanned. In HV (mean postural FVC <...