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Association between interhemispheric functional connectivity (IFC) and brain structural volume in patients with AD, MCI and VD

Balanced SSFP Parameter Estimation by Fitting Multi-TR Ellipses

Blood-Focused Dynamic Inversion Times for 3D LGE Imaging: Initial Patient Demonstration

Classification of Alzheimer's Disease Based on Amyloid-PET using Random Forest Ensemble

Comparison of Region-Wise and Voxel-Wise Diffusion SignalHarmonisation via Z-scoring and ComBat

Deep learning-based reconstruction for 3D coronary MR angiography with a 3D variational neural network (3D-VNN)

Design of a neonatal head and cardiac imaging system and parallel-transmit volume/receive phased array for 7T MRI during early infancy

Feasibility of a short but comprehensive MRI protocol for quantitative characterization of progressive neurodegeneration in Friedreich ataxia

Interhemispheric Functional Connectivity and 18F-fluatmetamol PET differentiate AD, amyloid and non-amyloid Mild cognitive decline

LAPNet: Deep-learning based non-rigid motion estimation in k-space from highly undersampled respiratory and cardiac resolved acquisitions

Learning to Map Genetics onto the Heart in Large Populations

Author:Declan O'Regan  

Session Type:Tutorial  

Session Date:Sunday, 16 May 2021  

Topic:Tutorial: Machine Learning in Cardiovascular MRI I  

Session Name:Tutorial: Machine Learning in Cardiovascular MRI I  

Program Number:

Room Session:Concurrent 3  

Institution:Imperial College London  

    Neuroimaging Pre-Processing and Quality Control for The European Prevention of Alzheimer's Dementia (EPAD) Cohort Study

    Author:Luigi Lorenzini  Silvia Ingala  Alle Meije Wink  Joost Kuijer  Viktor Wottschel  Carole Sudre  Sven Haller  José Luis Molinuevo  Juan Domingo Gispert  David Cash  David Thomas  Sjoerd Vos  Ferran Prados Carrasco  Jan Petr  Robin Wolz  Alessandro Palombit  Adam Schwarz  Gael Chételat  Pierre Payoux  Carol Di Perri  Cyril Pernet  Frisoni Giovanni  Nick Fox  Craig Ritchie  Joanna Wardlaw  Adam Waldman  Frederik Barkhof  Henk Mutsaerts  

    Session Type:Digital Poster  

    Session Date:Thursday, 20 May 2021  

    Topic:Data Processing & Software Tools  

    Session Name:Data Processing for Quality & Efficiency  

    Program Number:3739  

    Room Session:Concurrent 1  

    Institution:Department of Nuclear Medicine, Toulouse CHU, Purpan University Hospital  Barcelonaßeta Brain Research Center (BBRC), Pasqual Maragall Foundation  Centre for Clinical Brain Sciences, The University of Edinburgh  Centre for Dementia Prevention, The University of Edinburgh  CIRD Centre d’Imagerie Rive Droite  Dementia Research Centre, UCL  Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research  Imperial College London  IXICO  Laboratory Alzheimer’s Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli  MRC unit for Lifelong Health and Ageing at UCL, London  Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology  Nuclear Magnetic Resonance Research Unit, Queen Square Multiple Sclerosis Centre, University College London Institute of Neurology  Takeda Pharmaceuticals Ltd.  Université de Normandie, Unicaen, Inserm, U1237, PhIND Physiopathology and Imaging of Neurological Disorders, institut Blood-and-Brain @ Caen-Normandie, Cyceron  VUmc Amsterdam  Centre for Medical Image Computing, University College London  CIBER Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN)  CIBER Fragilidad y Envejecimiento Saludable (CIBERFES)  Dementia Research Centre  Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing, University College London  Department of Medicine, Imperial College London  Department of Surgical Sciences, Radiology, Uppsala University  Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University  Institute of Neurology and Healthcare Engineering, University College London  Toulouse NeuroImaging Center, University of Toulouse, INSERM, UPS  UK Dementia Research Institute at Edinburgh, University of Edinburg  University Hospitals and University of Geneva  IMIM (Hospital del Mar Medical Research Institute)  Centre for Medical Image Computing UCL  e-Health Centre, Open University of Catalonia  School of Biomedical Engineering & Imaging Sciences, King’s College London  Universitat Pompeu Fabra  

    One-heartbeat cardiac CINE imaging via jointly regularized non-rigid motion corrected reconstruction

    Optimising spiral diffusion tensor cardiovascular magnetic resonance for high resolution ex-vivo STEAM imaging on a clinical scanner

    Outcome prediction in Mild Traumatic Brain Injury patients using conventional and diffusion MRI via Support Vector Machine: A CENTER-TBI study

    Packinghierarchicalstructuresin myocardial tissue to synthesise a realistic substrate

    Author:Jan Rose  Andrew Scott  Denis Doorly  

    Session Type:Digital Poster  

    Session Date:Wednesday, 19 May 2021  

    Topic:Signal Modelling for Quantitative MRI  

    Session Name:Modelling Signals Throughout the Body  

    Program Number:2854  

    Room Session:Concurrent 1  

    Institution:Imperial College London  Royal Brompton Hospital  

    PIC-GAN: A Parallel Imaging Coupled Generative Adversarial Network for Accelerated Multi-Channel MRI Reconstruction

    A quantitative multiparametric 18F-FPIA PET/MRI study for the characterization of primary brain gliomas

    Realistic diffusion tensor cardiovascular magnetic resonance simulations in a histology-based substrate: The effect of membrane permeability

    Reproducibility of White Matter Parcellation onMulti-Acquisition Diffusion Weighted Imaging

    Right ventricular T1 mapping using a novel STEAM-based approach: STEAM-SASHA

    Sensitivity to WM injury in SLE assessed by diffusion MRI: influence of field strength, acquisition approach and post-processing strategy

    Texture-Based Deep Learning for Prostate Cancer Classification with Multiparametric MRI