Abstract #3885

Bayesian Experimental Design for Multi-Parametric T1/T2 Relaxometry and Diffusion

David Owen¹, Andrew Melbourne², Magdalena Sokolska³, David L Thomas^2,4, Jonathan Rohrer⁴, and Sebastien Ourselin²

¹Translational Imaging Group, University College London, London, United Kingdom, ²Translational Imaging Group, University College London, ³Department of Medical Physics, University College London Hospitals, ⁴Dementia Research Centre, University College London

Multi-parametric imaging, such as joint relaxometry and diffusion, can allow for a time-efficient measurement of several parameters of interest. However, it is unclear how best to make use of valuable scanner time when using such novel imaging techniques. In this work, we explore how Bayesian experimental design can be used to derive a maximally time-efficient joint imaging experiment.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.