as per August 26, 2019

Programme at a Glance

(for more information on invited speakers, open toggle boxes below)

Sir Peter Mansfield Lecture

Freddy Ståhlberg, Lund/SE, will hold the 2019 Sir Peter Mansfield Lecture on the topic of

Flow, Diffusion and Perfusion MRI: An Evolution over 30 Years

Gadolinium-Free Imaging
Plenary Session
Gadolinium-free Imaging

The Good, the Bad and the Ugly of Gadolinium
Alexander Radbruch, Heidelberg/DE
Technical Solutions of Gadolinium-free MRI and their Application
Penny Gowland, Nottingham/UK


Teaching Sessions
ASL as an Alternative to Gadolinium

Ilaria Boscolo-Galazzo, Verona/IT
Yuriko Suzuki, Oxford/UK

Gadolinum-free Cardiac Imaging

T1-rho as an Alternative to Late Gadolinium Enhancement
Martijn Froeling, Utrecht/NL
T1 Mapping in Rest and Under Stress
Vanessa Ferreira, Oxford/UK
Cardiac Arterial Spin Labeling
Frank Kober, Marseille/FR

Non-Gadolinium Based Contrast Agents

An Overview of MRI-based Contrast Agents
Dario Longo, Turin/IT
Clinical Applications of SPIOs
Ali Yilmaz, Münster/DE

Diffusion Methods for Gadolinium-free Imaging

Basic Principles and Methods of Microstructural Diffusion as an Alternative to Gadolinium
Angel Alberich-Bayarri, Valencia/ES
Whole Body Diffusion Imaging in the Clinic
M. Erturk, Istanbul/TR

Clinical Brain Imaging without Gadolinium

Structure and Function of the Blood-Brain Barrier in Health and Disease
Elga de Vries, Amsterdam/NL
Blood-Brain Barrier Breakdown Detection Without the Use of Contrast Agents
Linda Knutsson, Lund/SE

CEST as an Alternative to Gadolinium

Basics of CEST – From Invention to Interpretation in Animal Models
Verena Hoerr, Jena/DE
How Can CEST Reduce Gadolinium Use
Moritz Zaiss, Tübingen/DE

Hot Topic Debate
MR-PET: More Efficient or a Waste of Money?

Proponent: Benedikt Schaarschmidt, Essen/DE
Opponent: Francesco Fraioli, London/UK

Moderator: Andrea Rockall, London/UK

Machine Learning in MRI - Acquire, Reconstruct and Apply
Plenary Session
Machine Learning in MRI – Acquire, Reconstruct and Apply

Current Role of Machine Learning in MRI
Julia Schnabel, London/UK
Collaboration of Academia and Industry in Machine Learning
Florian Knoll, New York/US
What is Needed to Get Machine Learning into Clinical Practice
Mathias Prokop, Nijmegen/NL


Teaching Sessions
Introduction to Machine Learning

Concepts and Lexicon of Machine Learning in Medical Imaging
Georg Langs, Vienna/AT
Roadmap: From Clinical Need to Translatable Tool
Thomas Booth, London/UK

Clinical Impacts and Needs of Machine Learning

Detection of Disease
Ender Konukoglu, Zurich/CH
Radiotherapy Planning
Raj Jena, Cambridge/UK
Lesion Characterisation (Radiomics)
Laure Fournier, Paris/FR

Machine Learning for Acquisition

Artefact Reduction with Machine Learning
Thomas Kuestner, London/UK
Deep Learning for Magnetic Resonance Fingerprinting
Andreas Maier, Erlangen/DE

Applications of Machine Learning in Neuroscience

Machine Learning in Diffusion MR
Peter Neher, Heidelberg/DE
Analysing Cortical Organisation and its Relation to Cognition and Behaviour
Emma Robinson, London/UK
Machine Learning for the Detection of Brain Abnormalities
Hugo Kuijf, Utrecht/NL

Segmentation and Classification by Machine Learning

Methodology for Segmentation and Classification
Marleen de Bruijne, Rotterdam/NL
When is Good Good Enough? Evaluation and Testing of Tools for Clinical Application
Declan O’Regan, London/UK

Machine Learning for Reconstruction

Comparison to Existing Methods and Challenges
Martin Uecker, Göttingen/DE
Neural Networks for Undersampled MR Reconstruction
Jo Schlemper, London/UK

Roundtable Discussion

Can Europe Lead in Machine Learning of MRI-Data?

Liesbeth Geerts-Ossevorts, Best/NL
Wiro Niessen, Rotterdam/NL
Filippo Pesapane, London/UK
Nils Broeckx, Leuven/BE

Francesca Pizzini, Verona/IT

Efficient MRI
Plenary Session
Efficient MRI

Hardware for Efficient MRI
David Brunner, Zurich/CH
Sequences for Efficient MRI
Mariya Doneva, Hamburg/DE
Clinical Impact of Compressed Sensing
Siegfried Trattnig, Vienna/AT


Teaching Sessions
Practical Approaches to Efficient MRI

Optimising Patient Management
Joseph Castillo, Valetta/MT
Image Quality Versus Scan Time at 3T: Getting the Balance Right
Máire Hayes, Dublin/IE

Role of Efficient MRI in Animal Imaging

Scanning Without Anaesthesia
Ollie Gröhn, Kuopio/FI
Fast Imaging
Sylvain Miraux, Bordeaux/FR

Maximising the Value of MR – From Methods to Clinical Routine

From Research Methodology to Clinical Product
Georg Langs, Vienna/AT
Value-Based MRI
Mark van Buchem, Leiden/NL

More Than Just a Scan

Model-Based Multi-Contrast Methods, Fingerprinting and Quantitative Imaging
Alessandro Sbrizzi, Utrecht/NL
Multi-Contrast Beyond T1, T2 and PD
Guido Buonincontri, Pisa/IT
Interpretation and Application of Multi-Contrast MRI
Anders Tisell, Linköping/SE

Robustness and Motion Correction

Hardware and Sequence Solutions
Fetal MRI: New Sequences for Old Problems
Daniela Prayer, Vienna/AT

Accelerated MRI

Parallel Imaging
Martin Blaimer, Würzburg/DE
SMS Imaging, CAIPIRINHA, and Multi-Slice Excitation
Jenni Schulz, Nijmegen/NL
Sparse Imaging
Sebastian Kozerke, Zurich/CH