The Future of Cardiovascular Magnetic Resonance Imaging

Matthias G. Friedrich MD


Eur Heart J. 2017;38(22):1698-1701. 

In This Article

Big Data

CMR-derived continuous data on morphology, function, tissue, and metabolism can easily be transferred to large data bases. The SCMR has already initiated a global CMR registry which will have the possibility to store mass imaging data for further analyses. Once issues around data ownership, patient privacy, digital formats, inter-system communication, and access are addressed, such large data sets will not only allow for collecting cases of rare diseases, but also help to develop advanced diagnostic methods. Machine learning including deep, structured learning algorithms in such dynamic data sets for example, could help to identify disease 'signatures'. The accuracy and precision of CMR renders it an ideal candidate for this strategy.