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3D Seiffert spiral k-space trajectories for a functional sodium (23Na) MRI protocol at 3T

Accelerated Glioma characterization with VERDICT MRI: a comparison between deep learning and non-linear least squares fitting

Artifact free Projection onto Dipole Fields via a Generalized Frequency-domain Discrete Dipole Kernel

Artifact Reduction for Rapid Phase-Based EPT in the Human Brain In Vivo Using a Multi-Echo 2D EPI Sequence

Assessing Automated Vessel Segmentation Techniques of Feto-Placental Vasculature from MRI

An Automatically Optimised Gaussian Weighting Function Width for Magnitude-Weighted Phase-Based Electrical Properties Tomography (EPT)

Author:Jierong Luo  Oriana Arsenov  Karin Shmueli  

Session Type:Digital Poster  

Session Date:Wednesday, 08 May 2024  

Session Name:Electrical Tissue Properties  

Program Number:3682  

Room Session:Exhibition Hall (Hall 403)  

Institution:University College London  

Bayesian Magnetic Resonance Image Reconstruction and Uncertainty Quantification

Author:Ahmed Karam Eldaly  Daniel C. Alexander  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:Image Reconstruction  

Program Number:4273  

Room Session:Exhibition Hall (Hall 403)  

Institution:University College London  

Bias and Variability of Mean Diffusivity from DTI Across Two Head Coils: a Traceable Phantom Study

Challenges and recommendations for MRI protocol development in clinical practice: a UK based survey.

A Clinical Physicist's Perspective

    Combined DW-MRI and DW-MRS sensitivity to glioma tumour microenvironment: a preliminary study

    A comparison of semi-automatic quality control methods for 3D-T1 weighted scans

    Cortico-cerebellar effective connectivity of visual attention areas is altered in developmental dyslexia compared to typical readers

    Deep learning enables robust quantification of cerebral blood flow using ASL in the presence of pathology: Application to treated gliomas

    Diffusion imaging of the brain at 3T and 7T: a comparison of metrics and reproducibility using a matched acquisition scheme

    Author:Thomas Veale  Ian Malone  David Cash  Martina Callaghan  David Thomas  

    Session Type:Traditional Poster  

    Session Date:Thursday, 09 May 2024  

    Session Name:Diffusion Acquisition & Reconstruction  

    Program Number:5112  

    Room Session:Exhibition Hall (Hall 403)  

    Institution:University College London  

    Enhanced motion artifact simulator for structural MRI with MP-RAGE sequence

    Enhanced Non-invasive Characterisation of Renal Tumour Microstructure with VERDICT-MRI

    Exploring Brain Microstructure with Ultra-high b-values Diffusion MRI: A NODDI Model Comparison

    An extendable web-based tool for online radiological assessment of imaging protocols

    Fast Probabilistic Parameter Estimation for Quantitative MRI using Variational Autoencoders

    Author:Fan Yang  Hui Zhang  Christopher Parker  

    Session Type:Digital Poster  

    Session Date:Monday, 06 May 2024  

    Session Name:AI-Empowered Image Quantification & Interpretation  

    Program Number:2118  

    Room Session:Exhibition Hall (Hall 403)  

    Institution:University College London  

    Field Camera input to Virtual Phantom (ViP) scanner acquisitions for quality assurance of derived MRI quantities: First Proof-of-Principle.

    Functional connectivity of motor resting-state networks in infants who are HIV-exposed uninfected in a South African birth cohort study

    Hierarchical Bayesian Microstructure Modelling Improves Voxelwise Quantification of Blood-Brain Barrier Water Exchange Rates

    High-resolution 3D aortic segmentations from standard 2D CMR localisers: an AI application to clinical care and population studies

    Hyperpolarized 129Xe MRI of the Irradiated Lung using a Chemical Shift Imaging - Chemical Shift Saturation Recovery (CSI-CSSR) Technique

    ICA-enabled oxygen-enhanced MRI (OE-MRI) correlates with pulmonary function tests in cystic fibrosis

    Image2Flow: Fast Calculation of Pulmonary Artery Flow Fields from 3D Cardiac MRI Using Graph Convolutional Neural Networks

    Author:Tina Yao  Endrit Pajaziti  Michael Quail  Jennifer Steeden  Vivek Muthurangu  

    Session Type:Oral  

    Session Date:Thursday, 09 May 2024  

    Session Name:AI-Empowered Image Planning, Quantification & Modeling  

    Program Number:1237  

    Room Session:Hall 606  

    Institution:University College London  

    Improved QSM Pipeline to Investigate the Effect of Sickle Cell Anaemia on Brain Magnetic Susceptibility in Tanzanian Children at 1.5 Tesla

    Improving in-vivo myelin and iron mapping from relaxation rates maps by incorporating relaxation rate changes from in-vivo to ex-vivo conditions

    In vivo application of MP-PCA denoising of quantitative T2* and magnetic susceptibility maps (QSM) in normal and pathological cerebral tissues

    Initial experience of combined microstructural and functional magnetic resonance imaging for the characterisation of renal tumours.

    Interrogating Bone Marrow

    Author:Timothy Bray  

    Session Type:Weekday Course  

    Session Date:Wednesday, 08 May 2024  

    Session Name:Imaging of the Marrow  

    Program Number:

    Room Session:Summit 1  

    Institution:University College London  

    Introduction

    Author:Daniel Alexander  

    Session Type:Oral  

    Session Date:Thursday, 09 May 2024  

    Session Name:Diffusion: Artificial Intelligence & Machine Learning  

    Program Number:

    Room Session:Nicoll 1  

    Institution:University College London  

      Investigating Relationships Between Brain Magnetic Susceptibility, Transfusion Treatments, and Fine Motor Function in Sickle Cell Disease

      Author:Matthew Cherukara  Jamie Kawadler  Fenella Kirkham  Karin Shmueli  

      Session Type:Digital Poster  

      Session Date:Tuesday, 07 May 2024  

      Session Name:Magnetic Susceptibility I  

      Program Number:2618  

      Room Session:Exhibition Hall (Hall 403)  

      Institution:University College London  

      Joint Estimation of Brain Connectivity and Propagation of Neurodegeneration

      Layer-fMRI in lower brain structures: why is it so hard and what can we do about it?