Synopsis

Classic relaxation parameter mapping sequences such as inversion-recovery (for T1) or multiple-echo spin-echo (for T2) are too long for clinical applications. By better exploiting structure and relationships (priors) in the spatial (or frequency) domain and in the sequence parameter domain it is possible to under-sample the acquisition thereby accelerating the scan times. More advanced modelling strategies (e.g. time-domain) leads to further acceleration. However, the reconstruction algorithms gets more complex and computationally demanding. Deep learning strategies could overcome these drawbacks.

Syllabus

Acknowledgements

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