A5033242710- Advanced MRI Techniques and Applications
- Cardiac Imaging and Diagnostics
- Medical Imaging Techniques and Applications
- Atomic and Subatomic Physics Research
- Advanced X-ray and CT Imaging
- Radiomics and Machine Learning in Medical Imaging
- Cardiovascular Function and Risk Factors
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Liver Disease Diagnosis and Treatment
- Cardiac Fibrosis and Remodeling
- Acute Ischemic Stroke Management
- Medical Image Segmentation Techniques
- Advanced NMR Techniques and Applications
- Cerebrovascular and Carotid Artery Diseases
- Sparse and Compressive Sensing Techniques
- Coronary Interventions and Diagnostics
- Lanthanide and Transition Metal Complexes
- Medical Imaging and Analysis
- NMR spectroscopy and applications
- Photoacoustic and Ultrasonic Imaging
- Biometric Identification and Security
- Prostate Cancer Diagnosis and Treatment
- Tissue Engineering and Regenerative Medicine
- Hepatocellular Carcinoma Treatment and Prognosis
King's College London
2015-2024
St Thomas' Hospital
2019-2024
University of Michigan
2023-2024
British Columbia Institute of Technology
2024
University of Auckland
2024
Michigan Center for Translational Pathology
2024
The University of Tokyo
2023
Juntendo University
2023
Michigan United
2023
King's College School
2023
To develop a respiratory motion correction framework to accelerate free-breathing three-dimensional (3D) whole-heart coronary lumen and vessel wall MRI.We developed 3D flow-independent approach for imaging based on the subtraction of data with without T2-preparation prepulses acquired interleaved image navigators. The proposed method corrects both datasets same position using beat-to-beat translation bin-to-bin nonrigid corrections, producing coregistered, motion-corrected images. was...
Purpose To develop a new high‐dimensionality undersampled patch‐based reconstruction (HD‐PROST) for highly accelerated 2D and 3D multi‐contrast MRI. Methods HD‐PROST jointly reconstructs MR images by exploiting the redundant information, on local non‐local scale, strong correlation shared between multiple contrast images. This is achieved enforcing multi‐dimensional low‐rank in magnetic resonance fingerprinting (MRF) phantom vivo brain acquisitions were performed to evaluate performance of...
Good quality of medical images is a prerequisite for the success subsequent image analysis pipelines. Quality assessment therefore an essential activity and large population studies such as UK Biobank (UKBB), manual identification artefacts those caused by unanticipated motion tedious time-consuming. Therefore, there urgent need automatic techniques. In this paper, we propose method to automatically detect presence motion-related in cardiac magnetic resonance (CMR) cine images. We compare...
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...
Segmenting anatomical structures in medical images has been successfully addressed with deep learning methods for a range of applications. However, this success is heavily dependent on the quality image that being segmented. A commonly neglected point analysis community vast amount clinical have severe artefacts due to organ motion, movement patient and/or acquisition related issues. In paper, we discuss implications motion cardiac MR segmentation and compare variety approaches jointly...
Purpose Develop a nonrigid motion corrected reconstruction for highly accelerated free‐breathing three‐dimensional (3D) abdominal images without external sensors or additional scans. Methods The proposed method accelerates the acquisition by undersampling and performs correction directly in using general matrix description of acquisition. Data are acquired self‐gated 3D golden radial phase encoding trajectory, enabling two stage to estimate then correct same data. In first total variation...
To present a method that uses novel free-running self-gated acquisition to achieve isotropic resolution in whole heart 3D Cartesian cardiac CINE MRI.3D MRI using navigator gating results long times. Recently, several frameworks based on non-Cartesian trajectories have been proposed accelerate this acquisition. However, reconstructions are computationally expensive due gridding, particularly 3D. In work, we propose highly efficient approach for MRI. Acquisition is performed CArtesian...
Purpose Quantitative T 1 , 2 *, and fat fraction (FF) maps are promising imaging biomarkers for the assessment of liver disease, however these usually acquired in sequential scans. Here we propose an extended MR fingerprinting (MRF) framework enabling simultaneous FF mapping from a single ~14 s breath‐hold scan. Methods A gradient echo (GRE) MRF sequence with nine readouts per TR, low flip angles (5‐15°), varying magnetisation preparation golden angle radial trajectory is at 1.5T to encode...
Purpose Develop a sparse and locally low rank (LLR) regularized reconstruction to accelerate MR fingerprinting (MRF). Methods Recent works have introduced reconstructions MRF, based on temporal compression operators learned from the MRF dictionary. In other applications, LLR regularization has been exploit redundancy in local regions of image. Here, we propose include spatial sparsity terms reconstruction. This approach, so called SLLR‐MRF, further reduces aliasing time‐point images enables...
Cardiac magnetic resonance fingerprinting (cMRF) has been recently introduced to simultaneously provide T1 , T2 and M0 maps. Here, we develop a 3-point Dixon-cMRF approach enable simultaneous water specific mapping of the heart fat fraction (FF) estimation in single breath-hold scan.Dixon-cMRF is achieved by combining cMRF with several innovations that were previously for other applications, including 3-echo GRE acquisition golden angle radial readout high-dimensional low-rank tensor...
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.
Purpose Develop a novel 2D cardiac MR fingerprinting (MRF) approach to enable simultaneous T1, T2, T2*, and fat fraction (FF) myocardial tissue characterization in single breath‐hold scan. Methods Simultaneous, co‐registered, multi‐parametric mapping of FF has been recently achieved with MRF. Here, we further incorporate T2* quantification within this approach, enabling is an eight‐echo readout that requires long acquisition window. A low‐rank motion‐corrected (LRMC) reconstruction exploited...
Purpose To develop a free‐running (free‐breathing, retrospective cardiac gating) 3D myocardial T 1 mapping with isotropic spatial resolution. Methods The sequence is inversion recovery (IR)‐prepared followed by continuous golden angle radial data acquisition. 1D respiratory motion signal extracted from the k‐space center of all spokes and used to bin into different states, enabling estimation correction translational motion, whereas recorded using electrocardiography synchronized compensated...
To develop and evaluate a novel non-ECG triggered 2D magnetic resonance fingerprinting (MRF) sequence allowing for simultaneous myocardial T1 T2 mapping cardiac Cine imaging. Cardiac MRF (cMRF) has been recently proposed to provide joint T1/T2 by triggering the acquisition mid-diastole relying on subject-dependent dictionary of MR signal evolutions generate maps. In this work, we propose "free-running" (non-ECG triggered) cMRF framework imaging in single scan. Free-running is based transient...
Purpose To develop a novel respiratory motion compensated three‐dimensional (3D) cardiac magnetic resonance fingerprinting (cMRF) approach for whole‐heart myocardial T 1 and 2 mapping from free‐breathing scan. Methods Two‐dimensional (2D) cMRF has been recently proposed simultaneous, co‐registered breath‐hold scan; however, coverage is limited. Here we propose 3D tissue characterization Variable inversion recovery preparation modules are used parametric encoding, bellows driven localized...
Non-rigid motion-corrected reconstruction has been proposed to account for the complex motion of heart in free-breathing 3D coronary magnetic resonance angiography (CMRA). This framework requires efficient and accurate estimation non-rigid fields from undersampled images at different respiratory positions (or bins). However, state-of-the-art registration methods can be time-consuming. article presents a novel unsupervised deep learning-based strategy fast inter-bin CMRA. The network...
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,...
To develop a simultaneous T1 , T2 and T1ρ cardiac magnetic resonance fingerprinting (MRF) approach to enable comprehensive contrast agent-free myocardial tissue characterization in single breath-hold scan.A 2D gradient-echo electrocardiogram-triggered MRF sequence with low flip angles, varying magnetization preparation, spiral trajectory was acquired at 1.5 T encode T1⍴ simultaneously. The images were reconstructed using low-rank inversion, regularized multicontrast patch-based higher-order...
Physiological motion, such as cardiac and respiratory during Magnetic Resonance (MR) image acquisition can cause artifacts. Motion correction techniques have been proposed to compensate for these types of motion thoracic scans, relying on accurate estimation from undersampled motion-resolved reconstruction. A particular interest challenge lie in the derivation reliable non-rigid fields data. is usually formulated space via diffusion, parametric-spline, or optical flow methods. However,...
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...
Purpose Develop a method for rigid body motion‐corrected magnetic resonance fingerprinting (MRF). Methods MRF has shown some robustness to abrupt motion toward the end of acquisition. Here, we study effects different types during acquisition on and propose novel approach correct this motion. The proposed (MC‐MRF) follows 4 steps: (1) sliding window reconstruction is performed produce high‐quality auxiliary dynamic images; (2) rotation translation estimated from images by image registration;...