By now 4D Flow MRI is an established tool to assess 3D velocity vector fields, streamlines, peak velocity, and other cardiac biomarkers such as stroke volume, cardiac output or wall shear stress - at least in a research setting. For clinical practice, 4D Flow MRI has to be accelerated, for example by using compressed sensing techniques and by avoiding breathing navigators. Resolving the breathing dimension ("5D Flow") can help during image reconstruction or can provide additional physiological information at different respiratory states. Scan time of 4D Flow MRI is then going to be restricted mainly by the amount of information that is desirable to be encoded throughout the examination. For example, additional encoding gradients can detect elevated turbulence values at the presence of aortic stenosis at the cost of a prolonged scan time.

In my talk I will present the concepts of compressed sensing accelerated, self-gated 4D and 5D Flow MRI as I implemented it on a Philips system during my PhD and Postdoc. I will also show the concept and the advantages of encoding turbulence in Flow MRI scans.

The lecture will be held as a zoom meeting, please connect using:

https://unibe-ch.zoom.us/j/61954796127?pwd=b25nSWVIVi9PWlV4Vlp3NXpMdjRQdz09

For further info please contact: bernd.jung@insel.ch