A5068773239- Medical Image Segmentation Techniques
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- AI in cancer detection
- Liver Disease Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Advanced Vision and Imaging
- MRI in cancer diagnosis
- Digital Radiography and Breast Imaging
- Gyrotron and Vacuum Electronics Research
- Robot Manipulation and Learning
- Robotics and Sensor-Based Localization
- Image Retrieval and Classification Techniques
- Microwave Engineering and Waveguides
- Hepatocellular Carcinoma Treatment and Prognosis
- Pancreatic and Hepatic Oncology Research
- Robotic Path Planning Algorithms
- Computer Graphics and Visualization Techniques
- Microwave and Dielectric Measurement Techniques
- Cardiovascular Disease and Adiposity
- Advanced Radiotherapy Techniques
- Photonic and Optical Devices
- Cancer Genomics and Diagnostics
- Image Processing Techniques and Applications
- Advanced Image and Video Retrieval Techniques
University of Oxford
2011-2023
Princess Alexandra Hospital NHS Trust
2023
Cambridge University Hospitals NHS Foundation Trust
2023
Addenbrooke's Hospital
2023
Leeds Teaching Hospitals NHS Trust
2023
University Hospitals Plymouth NHS Trust
2023
Breast Cancer Research Foundation
2023
NHS Lothian
2023
Medical Research Council
2018
Cancer Research UK
2018
Objective To assess medium-term organ impairment in symptomatic individuals following recovery from acute SARS-CoV-2 infection. Design Baseline findings a prospective, observational cohort study. Setting Community-based two UK centres between 1 April and 14 September 2020. Participants Individuals ≥18 years with persistent symptoms infection age-matched healthy controls. Intervention Assessment of by standardised questionnaires (EQ-5D-5L, Dyspnoea-12) organ-specific metrics biochemical...
We propose a modification of Wells et al. technique for bias field estimation and segmentation magnetic resonance (MR) images. show that replacing the class other, which includes all tissue not modeled explicitly by Gaussians with small variance, uniform probability density, amending expectation-maximization (EM) algorithm appropriately, gives significantly better results. next consider filtering high-frequency information in MR images, comprising noise, intertissue boundaries, within...
Survival prediction and treatment selection in lung cancer care are characterised by high levels of uncertainty. Bayesian Networks (BNs), which naturally reason with uncertain domain knowledge, can be applied to aid experts providing personalised survival estimates recommendations. Based on the English Lung Cancer Database (LUCADA), we evaluate feasibility BNs for these two tasks, while comparing performances various causal discovery approaches uncover most feasible network structure from...
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...
An open-ended coaxial line was used as a sensor in measurement of the permittivity lossy dielectrics at radio and microwave frequencies. A simplified equivalent circuit related to measured input reflected coefficient. more complete is proposed errors measurements resulting from simplification are analyzed.
The microenvironment of a tumour, in particular its hypoxic status, is crucial factor response to radiotherapy. Conventional techniques for measuring hypoxia are either invasive or follow surgical intervention, and thus not ideal. Positron emission tomography allows the non-invasive pre-surgical assessment oxygen status by spatiotemporal distribution hypoxia-specific tracers. However, relationship between levels uptake underlying tension yet be elucidated. Furthermore, it fully understood...
Textures within real images vary in brightness, contrast, scale and skew as imaging conditions change. To enable recognition of textures images, it is necessary to employ a similarity measure which invariant these properties. Furthermore, since often appear on undulating surfaces, such invariances must necessarily be local rather than global. Despite requirements, only relatively recently that texture algorithms with affine invariance properties have begun reported. Typically, they comprise...
Abstract Objectives Scanner-referenced T1 (srT1) is a method for measuring pancreas relaxation time. The purpose of this multi-centre study two-fold: (1) to evaluate the repeatability manual ROI-based analysis srT1, (2) validate semi-automated measurement with an automatic quality control (QC) module identify likely discrepancies between automated and measurements. Methods Pancreatic MRI scans from scan-rescan cohort (46 subjects) were used analysis. 708 longitudinal 466 subjects divided...
Multidisciplinary team (MDT) meetings are becoming the model of care for cancer patients worldwide. While MDTs have improved quality care, impose substantial time pressure on members, who generally attend several such MDTs. We describe Lung Cancer Assistant (LCA), a clinical decision support (CDS) prototype designed to assist experts in treatment selection decisions lung A novel feature LCA is its ability provide rule-based and probabilistic within single platform. The guideline-based CDS...
Type 2 diabetes (T2D) is associated with significant end-organ damage and ectopic fat accumulation. Multiparametric magnetic resonance imaging (MRI) can provide a rapid, noninvasive assessment of multiorgan body composition. The primary objective this study was to investigate differences in visceral adiposity, accumulation, composition, relevant biomarkers between people without T2D.Participant demographics, routine biochemistry, multiparametric MRI scans the liver, pancreas, subcutaneous...
Purpose Several studies have demonstrated the accuracy, precision, and reproducibility of proton density fat fraction (PDFF) quantification using vendor-specific image acquisition protocols PDFF estimation methods. The purpose this work is to validate a confounder-corrected, cross-vendor, cross field-strength, in-house variant LMS IDEAL method licensed from University Wisconsin, which has been developed for routine clinical use. Methods implemented combination patented and/or published some...
Purpose To develop a postprocessing algorithm for multiecho chemical‐shift encoded water–fat separation that estimates proton density fat fraction (PDFF) maps over the full dynamic range (0‐100%) using multipeak modeling and multipoint search optimization. assess its accuracy, reproducibility, agreement with state‐of‐the‐art complex‐based methods, to evaluate robustness artefacts in abdominal PDFF maps. Methods We introduce MAGO (MAGnitude‐Only), magnitude‐based reconstruction embodies liver...
Abstract Suppression of neo‐angiogenesis is a clinically used anti‐tumor strategy with new targets such as angiopoietin‐2 (Ang2) being proposed. However, the functions Ang2 in vascular remodeling, inflammation and tumor growth are not consistent. We examined effect depletion host on liver colony formation using deficient ( −/− ) mice. Surprisingly, metastatic colonies formed mice were larger than those wild type. These had greater density more pericyte coverage vessels Liver VEGF...