Gadgetron summer school 2020

News : recordings of the course available on YouTube

The first recordings have been posted on YouTube on a dedicated channel:

News : Undelivered Mail Returned to Sender

Some email addresses cannot be reached (...@gmial.cpm), we try to correct them, but some of them are more difficult to guess. For other, it might also be a security rule from your mail server. If you haven't receive the instruction by email or the slack invitation within a few day. Please contact us.

News : Instructions for the lectures and hands-on sessions



News : GadgetronOnlineClass Registration

Please follow the registration link or go to MYSPACE/Register.  Registration is free. We will use the platform dedicated to the initial Summer School for the registration process and email communication. Otherwise please refer to the GitHub repository GadgetronOnlineClass. Thanks for your comprehension.

News : COVID-19 -> Gadgetron Online Class :

As a result of the ongoing COVID-19 pandemic, the University of Bordeaux announces the postponement of the 2020 edition of the Bordeaux Summer Schools until 2021. The current situation means that the program cannot be organized while respecting the health and safety of its participants, nor can it propose a high-quality educational environment, as initially promised.

We are currently converting the summer school program into an online teaching program over June 2020.

Information will be posted on this Github repository GadgetronOnlineClass (

Feel free to contact us at for any question.

We thank you for your understanding and hope to see you in Bordeaux in 2021.




We are very excited to announce that the first gadgetron summer school will be held this summer (June 17-19th, 2020) in Bordeaux, France.

This course is aimed at both new and experienced users of Gadgetron, covering basic reconstruction as well as the latest functionalities. The topics covered are intended for researchers in basic science and/or clinical research, and will include:

- Introduction to ISMRM raw data format.
- Converting kspace data from different MRI vendor to ISMRM raw data format.
- Gagdetron installation on our personal laptop.
- Gagdetron installation on MRI (Siemens and GE).
- Introducting to the Gadgetron Framework.
- Discovery of cartesian, radial, spiral, multiband reconstructions.
- Python or Matlab interaction inside the Gadgetron.
- In-line reconstruction using BART or SigPy inside the Gadgetron.
- 2 pratical coding session.
- You need to go faster: C++ and OpenMP programming in the Gadgetron.
- How to debug and optimize the Gadgetron ?
- You have a lot of CPU: distributed reconstruction on a local cloud.
- In-line reconstrution on a remote cloud.
- 2 scanner sessions on 1.5T clinical MRI ( ~2h each).
- Convolution Network inside the Gadgetron.

The precise program will be annonced here in the next months and will cover all these topics in the the first two days (17th-18th).  The list of speakers is already available here. The third day (19th) should include in the morning scientific sessions where speakers and participants can present their works. In the afternoon, another coding session should be organized where participants can bring their own dataset, and  speakers will help them to use the Gadgetron.   

Important dates

1st of December 2019                            pre-registration opening,
20th of Febrary  2019                             pre-registration closing
XXth of Mars 2019                                 participants selection (if necessary) ending, poster submission opening (to be annonced)
XXth of Mars 2019                                      online registration and payment closing  (to be annonced)
June 17-19 2019                                        spring school

After completing this Gadgetron course, participants should be able to process, reconstruct, and visualize their own MRI data sets using the Gadgetron.


Registration includes all sessions, coffee/tea breaks and lunch for each day. Accommodation is not included. All course materials, including lecture slides, tutorial instructions, and example data sets will be made available after the course (with the exception of some MRI-vendor information that will be shared via your refered clinical scientist). Participants must bring their own laptops, and we will do our best to accommodate them.

The registration page can be found here. It will be open from Tuesday XX February/Mars (CET) (to be announced later), and will close on Sunday XX April, midnight CET, or once the maximum of 40 participants has been reached. A further announcement will be made nearer the time with further details.

The school organised by the LIRYC, CNRS, INSERM and NIH was supported by the France Life Imaging, the University of Bordeaux, and the Labex Trail.




Online user: 1