Talks and data

Talks 2026


Monday Oct. 5.
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Introduction to MR, general overview 
Steffen Ringgaard

Introduction to d-DNP
Arnaud Comment 

Introduction to SEOP
Graham Norquay 

Introduction to PHIP
Myriam Chaumail  

Running a hyperpolarised MR exam: MRSI, physics, constraints, prescan
Rolf Schulte 

Beyond thermal SNR: efficient use of hyperpolarized magnetization
Jan Henrik Ardenkjær-Larsen 

Postprocessing techniques: fitting, metabolic modelling, denoising
Jeromy Gordon

Tuesday Oct. 6.
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Imaging considerations for 129Xe MRI
Jim Wild 

MNS Hardware and Coils
Jim Wild

 


Wednesday Oct. 7.
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Considerations for Human experiments
Ferdia Gallagher 

Panel discussion: moving hyperpolarized ¹³C and ¹²⁹Xe MRI toward clinical use
Ferdia Gallagher and Jeremy Gordon 

 

Thursday Oct. 8.
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High throughput dDNP without cross polarization
Andrea Capozzi 

Quality control and reproducibility in clinical hyperpolarized MR
Christoffer Laustsen 

Imaging strategies: sequences and trajectories
Jeremy Gordon 

From method to answer: designing a robust hyperpolarized MR experiment
Lotte Bonde Bertelsen 


Data


Matlab exercises during the training sessions

The exercises consist of hyperpolarized 13C and 129Xe MRI analyses and data processing. You will not be able to complete all the exercises during the appointed time on the training course. Recommendation is to choose the topic most relevant to you and later complete the remaining. The four topics are as listed below:
 

  1. Carbon 13: Polarization test and CSI data reconstruction (RFS)
  2. Carbon 13: Kinetic modelling and quantification of metabolism (JG)
  3. Xenon 129: Time-domain Voigt fitting of dissolved-phase in the lungs (GN)
  4. Xenon 129: Flip angle calibration and k-space correction (JW)


Prerequisite

The exercises are written in or with solutions in Matlab (link).


Data and exercises material

Please download the exercises material prior to attending the course.

This can be done via this FileSender link (expires on 12. oct 2026)