A5064308224- Advanced MRI Techniques and Applications
- Cardiac Imaging and Diagnostics
- Medical Imaging Techniques and Applications
- Cardiovascular Function and Risk Factors
- Advanced Neuroimaging Techniques and Applications
- Atomic and Subatomic Physics Research
- Advanced X-ray and CT Imaging
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Ultrasound and Hyperthermia Applications
- Cardiac Valve Diseases and Treatments
- Medical Image Segmentation Techniques
- Ultrasound Imaging and Elastography
- Cardiac Arrhythmias and Treatments
- Congenital Heart Disease Studies
- Liver Disease Diagnosis and Treatment
- Cardiac electrophysiology and arrhythmias
- Coronary Interventions and Diagnostics
- Aortic Disease and Treatment Approaches
- Esophageal Cancer Research and Treatment
- Elasticity and Material Modeling
- Photoacoustic and Ultrasonic Imaging
- Prostate Cancer Diagnosis and Treatment
- Electron Spin Resonance Studies
- Cardiovascular Disease and Adiposity
King's College London
2016-2025
Siemens (United Kingdom)
2016-2025
St Thomas' Hospital
2016-2025
Siemens Healthcare (Germany)
2017-2024
King's College Hospital
2023
Laboratoire d’Imagerie Biomédicale
2017-2021
Guy's and St Thomas' NHS Foundation Trust
2018
Kings Health Partners
2018
Hospital Universitario HM Sanchinarro
2018
Resonance Research (United States)
2017
Cardiac CINE magnetic resonance imaging is the gold-standard for assessment of cardiac function. Imaging accelerations have shown to enable 3D with left ventricular (LV) coverage in a single breath-hold. However, remains limited anisotropic resolution and long reconstruction times. Recently deep learning has promising results computationally efficient reconstructions highly accelerated 2D imaging. In this work, we propose novel 4D (3D + time) learning-based network, termed CINENet,...
To enable whole-heart 3D coronary magnetic resonance angiography (CMRA) with isotropic sub-millimeter resolution in a clinically feasible scan time by combining respiratory motion correction highly accelerated variable density sampling concert novel patch-based undersampled reconstruction (3D-PROST).An spiral-like Cartesian trajectory was combined 2D image-based navigators to achieve 100% efficiency and predictable time. 3D-PROST integrates structural information from patch neighborhoods...
To develop and evaluate a novel generalizable super-resolution (SR) deep-learning framework for motion-compensated isotropic 3D coronary MR angiography (CMRA), which allows free-breathing acquisitions in less than minute.Undersampled motion-corrected reconstructions have enabled CMRA ~5-10 min acquisition times. In this work, we propose deep-learning-based SR framework, combined with non-rigid respiratory motion compensation, to shorten the time 1 min. A generative adversarial network (GAN)...
To enable free-breathing whole-heart sub-millimeter resolution coronary magnetic resonance angiography (CMRA) in a clinically feasible scan time by combining low-rank patch-based undersampled reconstruction (3D-PROST) with highly accelerated non-rigid motion correction framework.
Abstract Aims Current assessment of myocardial ischaemia from stress perfusion cardiovascular magnetic resonance (SP-CMR) largely relies on visual interpretation. This study investigated the use high-resolution free-breathing SP-CMR with automated quantitative mapping in diagnosis coronary artery disease (CAD). Diagnostic performance was evaluated against invasive angiography (ICA) fractional flow reserve (FFR) measurement. Methods and results Seven hundred three patients were recruited for...
Conventional 2D inversion recovery (IR) and phase sensitive (PSIR) late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) have been widely incorporated into routine CMR for the assessment of myocardial viability. However, reliable suppression fat signal, increased isotropic spatial resolution volumetric coverage within a clinically feasible scan time remain challenge. In order to address these challenges, this work proposes highly efficient respiratory motion-corrected 3D...
The widespread clinical application of coronary cardiovascular magnetic resonance (CMR) angiography (CMRA) for the assessment artery disease (CAD) remains limited due to low scan efficiency leading prolonged and unpredictable acquisition times; spatial-resolution; residual respiratory motion artefacts resulting in image quality. To overcome these limitations, we have integrated highly undersampled acquisitions with image-based navigators non-rigid correction enable high resolution (sub-1...
To develop an end-to-end deep learning technique for nonrigid motion-corrected (MoCo) reconstruction of ninefold undersampled free-breathing whole-heart coronary MRA (CMRA).A novel framework was developed consisting a diffeomorphic registration network and motion-informed model-based (MoDL) network. The receives as input highly (~22×) respiratory-resolved images outputs 3D respiratory motion fields between the images. MoDL performs MoCo from data using predicted fields. whole framework,...
Cine Displacement Encoding with Stimulated Echoes (DENSE) facilitates the quantification of myocardial deformation, by encoding tissue displacements in cardiovascular magnetic resonance (CMR) image phase, from which strain can be estimated high accuracy and reproducibility. Current methods for analyzing DENSE images still heavily rely on user input, making this process time-consuming subject to inter-observer variability. The present study sought develop a spatio-temporal deep learning model...
Abstract Background The clinical translation of positron emission tomography (PET) radiotracers for cancer management presents complex challenges. We have developed consensus-based recommendations preclinical and assessment novel established radiotracers, applied to image different types, improve the standardisation translational methodologies accelerate implementation. Methods A consensus process was using RAND/UCLA Appropriateness Method (RAM) gather insights from a multidisciplinary panel...
Abstract Background Clinical implementation of coronary magnetic resonance angiography (CMRA) is limited due to variability in image quality. A protocol utilizing an navigator (iNAV) integrated with automated scan planning has been developed facilitate consistent diagnostic Objectives To evaluate the agreement iNAV CMRA compared Coronary CT (CCTA) using Artery Disease Reporting and Data System (CAD-RADS) classify (CAD). Methods 95 Individuals underwent at a resolution 0.7 mm3 Deep-learning...
Purpose Develop a framework for efficient free‐breathing simultaneous whole‐heart coronary magnetic resonance angiography (CMRA) and cardiac positron emission tomography (PET) on 3 Tesla PET‐MR system. Methods An acquisition that enables nonrigid motion correction of both CMRA PET has been developed. The proposed method estimates translational from low‐resolution 2D MR image navigators acquired at each heartbeat 3D respiratory between different bins the data itself. Estimated is used...
Simultaneous-Multi-Slice (SMS) perfusion imaging has the potential to acquire multiple slices, increasing myocardial coverage without sacrificing in-plane spatial resolution. To maximise signal-to-noise ratio (SNR), SMS can be combined with a balanced steady state free precession (bSSFP) readout. Furthermore, application of gradient-controlled local Larmor adjustment (GC-LOLA) ensure robustness against off-resonance artifacts and SNR loss mitigated by applying iterative reconstruction...
Purpose To develop a 3D whole‐heart Bright‐blood and black‐blOOd phase SensiTive (BOOST) inversion recovery sequence for simultaneous noncontrast enhanced coronary lumen thrombus/hemorrhage visualization. Methods The proposed alternates the acquisition of two bright‐blood datasets preceded by different preparatory pulses to obtain variations in blood/myocardium contrast, which then are combined phase‐sensitive (PSIR)‐like reconstruction third, coregistered, black‐blood dataset. used both...
The development of effective and safe therapies for scar-related ventricular tachycardias requires a detailed understanding the mechanisms underlying conduction block that initiates electrical re-entries associated with these arrhythmias. Conduction has been often electrophysiological changes prolong action potential duration (APD) within border zone (BZ) chronically infarcted hearts. However, experimental evidence suggests remodeling processes promoting slowing as opposed to APD...
Cardiovascular magnetic resonance (CMR) T1ρ mapping can be used to detect ischemic or non-ischemic cardiomyopathy without the need of exogenous contrast agents. Current 2D myocardial requires multiple breath-holds and provides limited coverage. Respiratory gating by diaphragmatic navigation has recently been exploited enable free-breathing 3D mapping, which, however, low acquisition efficiency may result in unpredictable long scan times. This study aims develop a fast respiratory...
Purpose To develop a free‐breathing isotropic‐resolution whole‐heart joint T 1 and 2 mapping sequence with Dixon‐encoding that provides coregistered 3D maps complementary anatomical water fat images in single ~9 min scan. Methods Four interleaved dual‐echo Dixon gradient echo volumes are acquired variable density Cartesian trajectory different preparation pulses: 1) inversion recovery‐preparation, 2) 3) no preparations, 4) preparation. Image navigators to correct each for 2D translational...
Phase sensitive inversion recovery (PSIR) applied to late gadolinium enhancement (LGE) imaging is widely used in clinical practice. However, conventional 2D PSIR LGE sequences provide sub-optimal contrast between scar tissue and blood pool, rendering the detection of subendocardial infarcts segmentation challenging. Furthermore, acquisition a low flip angle reference image doubles time without providing any additional diagnostic information. The purpose this study was develop test novel 3D...
Cardiac PET-MR has shown potential for the comprehensive assessment of coronary heart disease. However, image degradation due to physiological motion remains a challenge that could hinder adoption this technology in clinical practice. The purpose study was validate recently proposed respiratory motion-corrected framework simultaneous visualisation myocardial viability (18F-FDG PET) and artery anatomy (coronary MR angiography, CMRA) patients with chronic total occlusion (CTO).A cohort 14...
To develop a robust and efficient reconstruction framework that provides high-quality motion-compensated respiratory-resolved images from free-breathing 3D whole-heart Cartesian coronary magnetic resonance angiography (CMRA) acquisitions.Recently, XD-GRASP (eXtra-Dimensional Golden-angle RAdial Sparse Parallel MRI) was proposed to achieve 100% scan efficiency provide radial CMRA by exploiting sparsity in the respiratory dimension. Here, for imaging is proposed, which incorporating 2D...
Purpose The widespread clinical application of quantitative MRI has been hindered by a lack reproducibility across sites and vendors. Previous work attributed this to incorrect B 1 mapping or insufficient spoiling conditions. We recently proposed the controlled saturation magnetization transfer (CSMT) framework hypothesized that can also be effects. This seeks validate hypothesis demonstrate reproducible multivendor single‐pool relaxometry achieved with CSMT approach. Methods Three healthy...