Magnetic Resonance Imaging

The magnetic resonance imaging group is dedicated to excellent research in MR reconstruction. An overview on the running projects can be found on this website.

Colloquium Time Table (Winter term 2018/19)

Date	Responsible Person	Title

01.10.2018 - 28.11.2018	---	No colloquia
29.11.2018	SeungSu Yoon	Final Talk (Master's Thesis): "Automatic Cardiac Resting Phase Detection using Machine Learning" (30+5 min)
06.12.2018	---	No colloquium
13.12.2018	---	ISMRM Abstracts (PR Lab)
17.01.2019	Manuel Schneider	Book club (Haacke)

Opens internal link in current window Prior Sessions

Mailing list subscription management page for Opens external link in new window students and guests.

Running Projects

Iterative Reconstruction for Cardiac Magnetic Resonance Imaging

The focus of this project is the acceleration of the data acquisition of coronary imaging with the use of iterative reconstruction and respiratory motion compensation.

Iterative Reconstruction for Sodium MRI

The image quality of ²³Na-MRI is enhanced significantly by dictionary-learning compressed-sensing (DLCS) reconstruction. The acceleration and improvement of the DLCS algorithm is focus of this project.

Fatty Acid Quantification using Multiecho MRI

The aim of this project is to develop a method yielding accurate information about the fatty acid composition (i.e. the fractions of unsaturated, mono-unsaturated, poly-unsaturated as well as saturated fat in percent) using MRI.

Finished Projects

Iterative Reconstruction Techniques for MR angiography and flow

Non-contrast enhanced MRA and flow acquisition are promising applications for iterative reconstruction.

Iterative Reconstruction Techniques for Radial Perfusion MRI

Radial k-space sampling trajectories are a promising alternative to Cartesian sampling, in particular for dynamic contrast-enhanced MRI.