ISMRM endorsed

After the succesfull first edition of the workshop. We are glad to announce that we organise a new two days workshop in London at University College London. As in the previous edition, the general aim of this workshop is to bring together spinal cord MRI researchers and clinicians from around the world and discuss together and establish new collaborative solutions.

Live streaming

For those who could not attend, the workshop and SCT course will be live streamed and recorded. You will need to install Zoom. The workshop will be streamed here, and the SCT course will be streamed here.


Recordings of the full workshop is available here. Recordings of the SCT course can be found here.


1st Day Monday, 20th January 2020
IoE Bedford Way (20) - Different room depending the session
13:30 - 14:00 Welcome session - Room 642 breakdown 1 (6th floor)
Daniel Alexander (Director of Centre for Medical Image Computing)
The Centre for Medical Image Computing

Ferran Prados (Centre for Medical Image Computing - UCL - UK)
Welcome to the Spinal Cord MRI workshop

Emma Gray (MS Society - UK)
The value of spinal cord imaging for MS Society UK
14:00 - 14:30 Coffee break
14:30 - 16:30 Session 1 - Room 642 breakdown 1 (6th floor)
Julien Cohen-Adad (Polytechnique Montreal - Canada)
Standardizing acquisition and processing of spinal cord MRI data

Jalesh N. Panicker (Institute of Neurology - UCL - UK)
The lumbosacral spinal cord

Mark Horsfield (Xinapse Systems - UK )
Spinal cord atrophy assessment using JIM

Hugo Vrenken (VUMC - Amsterdam - Netherland)
Upper cervical cord atrophy in MS

16:30 - 17:00 Coffee break
17:00 - 19:00 Session 2 - C3.09 Lecture Theatre (3rd floor)
John Ashburner (Institute of Neurology - UCL - UK)
Extending SPM for analysing images of head and neck

Ruud de Boer (Philips NL)
Recent developments in accelerating and optimizing spine and spinal cord sequences

Joe Yazhuo Kong (Wellcome Centre for Integrative Neuroimaging (WIN), University of Oxford - UK)
Spinal cord fMRI: what we can do so far?

Jon Stutters (Queen Square Multiple Sclerosis Centre - UCL - UK)
Data management lessons from a spinal cord study

19:30 Social event / Dinner
2nd Day Tuesday, 21st January 2020
Bentham House 124 - Gideon Schreier Lecture Theatre
09:00 - 11:00 Session 3
Claudia Wheeler-Kingshott (Queen Square Multiple Sclerosis Centre - UCL - UK)
Spinal cord as part of the central nervous system: advances in brain and spine acquisition

Gabriele de Luca (Oxford University, UK)
The pathological architecture of the Multiple Sclerosis spinal cord

Paola Valsasina (Milan, Italy)
Quantitative MRI of the spinal cord in multiple sclerosis

Rosanna Cortese (Queen Square Multiple Sclerosis Centre - UCL - UK)
Spinal cord involvement in myelin oligodendrocyte glycoprotein associated disease

11:00 - 11:30 Coffee break
11:30 - 13:30 Session 4
Olivier Vincent (Polytechnique Montreal - Canada)
Generalizing deep learning segmentation across multiple MRI contrasts and centers

Junqian Gordon Xu (Baylor College of Medicine - Houston - USA)
A pilot two-center reproducibility study of quantitative cervical spinal cord MRI for clinical trials in progressive multiple sclerosis

Govind Nair (National Institute of Neurological Disorder and Stroke - USA)
Assessing the role of spinal cord atrophy in neuroinflammatory diseases

Frederik Barkhof (Centre for Medical Image Computing - UCL - UK)
Spinal cord atrophy rates in randomised controled trials

13:30 - 14:00 Lunch - Venue TBC
14:00 - 18:00 Course on Spinal Cord Toolbox (SCT). The course material is available here. Please, bring your laptop and install SCT before coming to the course.
Venue: Cruciform Building B404 - Lecture Theatre 2

Minutes of the meeting


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

Supported by:

University College London (UCL) Centre for Medical Image Computing (CMIC) Queen Square Multiple Sclerosis Centre (QSMSC) Institute of Healthcare Engineering (IHE) Multiple Sclerosis Society UK Biospective Spinal Research Wings for Life Philips Siemens