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Spinal Cord MRI Workshop

21 January 2019–22 January 2019, 1:00 pm–6:00 pm

Spinal Cord MRI

This 2-day CMIC workshop, supported by IHE, will bring together spinal cord MRI researchers and clinicians to discuss challenges in the field.

Event Information

Open to

All

Availability

Yes

Organiser

Ferran Prados

Location

Gaton Lecture Theatre
1-19 Torrington Place
London
WC1E 7HB

Programme:

1st DayMonday, 21st January 2019
Gaton Lecture Theatre (Torrington Place)
13:00 - 13.30Welcome session
Ferran Prados (Centre for Medical Image Computing - UCL - UK)
Welcome to the Spinal Cord MRI workshop

Rebecca Shipley (Director of UCL Institute of Healthcare Engineering)
The Institute of Healthcare Engineering

Daniel Alexander (Director of Centre for Medical Image Computing)
The Centre for Medical Image Computing
13:30 - 15.30Session 1
Claudia Wheeler-Kingshott (Queen Square Multiple Sclerosis Centre - UCL - UK)
What has not been presented in spinal cord MRI

Frederik Barkhof (Centre for Medical Image Computing - UCL - UK)
Conventional MRI findings in MS and other disorders

Johanna Vannesjo (Nuffield Department of Clinical Neurosciences - Oxford - UK)
Magnetic field stability and homogeneity in spinal cord imaging

Brian Carlin (Aspire UK)
Aspire – practical solutions supporting spinal cord injured people from injury to independence
15:30 - 16.00Coffee break
16:00 - 18:00Session 2
Elise Bannier (VisAGeS - Université de Rennes - France) 
Multi-center (mono-vendor) longitudinal conventional and quantitative spinal cord MRI at 3 Tesla

Roland Henry (University of California San Francisco - USA) 
Grey matter areas in relapsing and progressive MS

Klaus Schmierer (The Blizard Institute - Queen Mary University of London - UK)
Latest advances in spinal cord pathology and pathology/MRI correlations

Torben Schneider (Philips UK) 
New sequences for fast and reliable spinal cord MRI
19:30Social event / Dinner
2nd DayTuesday, 22nd January 2019
Gilliatt Lecture Theatre - Queen Square House - Queen Square
09:00 - 11.00Session 3
Virginie Callot (Aix-Marseille Université - France) 
Multi-parametric and quantitative spinal cord MRI at 7 Tesla

Julien Cohen-Adad (Polytechnique Montreal - Canada)
Standardizing acquisition and processing of spinal cord MRI data

Seth Smith (Vanderbilt University Institute of Imaging Science - USA) 
Quantitative MRI in Spinal Cord Disease. Scope, Progress, and Application(s)

Mark Bacon (Spinal research - UK)
What would funders like to “see” in imaging?
11:00 - 11.30Coffee break
11:30 - 13.30Session 4
Marcello Moccia (Queen Square Multiple Sclerosis Centre - UCL - UK) 
Improving longitudinal spinal cord atrophy measurements for clinical trials in multiple sclerosis by using the Generalised Boundary Shift Integral

Marco Battiston (Queen Square Multiple Sclerosis Centre - UCL - UK) 
Towards in vivo g-ratio mapping in the spinal cord with a clinically feasible protocol

Rebecca Samson (Queen Square Multiple Sclerosis Centre - UCL - UK)
Investigation of DTI parameters in the corticospinal tract: from cervical cord to motor cortex

Bhavana Solanky (Queen Square Multiple Sclerosis Centre - UCL - UK)
Associations between tissue sodium concentration, age and cross-sectional area in the healthy spinal cord

Marios Yiannakas (Queen Square Multiple Sclerosis Centre - UCL - UK)
Structural and quantitative MRI assessment of the neurologically intact lower spinal cord and lumbar plexus

Francesco Grussu (Queen Square Multiple Sclerosis Centre - UCL - UK)
Insight on spinal cord microstructure from time-dependent diffusion

Ferran Prados (Queen Square Multiple Sclerosis Centre - UCL - UK)
Workshop closing remarks
13:30 - 14.30Lunch - Venue TBC
14:30 - 18.00Course on Spinal Cord Toolbox (please, bring your own laptop and data)
Venue: Malet Place Engineering Building 1.19

The title of the presentations are provisional and might differ from the final title.

Organisers:

Ferran Prados, Frederik Barkhof, Daniel Alexander, Claudia Wheeler-Kingshott, Julien Cohen-Adad

This workshop is also supported by the UCL Institute of Healthcare Engineering (IHE)