Speedup and extension of iterative image reconstruction methods for cardiac magnetic resonance imagingDue to a multitude of available image contrasts and the
ability to visualize both anatomical and functional
information, magnetic resonance imaging (MRI) is well suited
for the diagnosis and monitoring of cardiovascular diseases.
However, coronary MR imaging is challenging and thus not yet
well established in clinical practices. In particular,
myocardial contraction and respiratory motion impair MR
imaging.Methods for iterative image reconstruction enable us to
significantly reduce acquisition times while simultaneously
avoiding artifacts. The goal of this project is the speedup
of an existing iterative reconstruction method for motion-
compensated coronary imaging and its generalization to other
areas of cardiac imaging, e.g. time-resolved studies, flow
or perfusion imaging. Based on this prior work, new iterative reconstruction
methods with a focus on faster runtimes are to be developed
and optimized. Significant speedups should make the
algorithms more appealing for use in clinical practices.
| Project manager:
Prof. Dr.-Ing. Joachim Hornegger
Project participants:
Jens Wetzl, M. Sc., Dr. Michael Zenge, Prof. Dr.-Ing. habil. Andreas Maier
Keywords:
iterative reconstruction; motion compensation; cardiac magnetic resonance imaging
Duration: 1.2.2014 - 31.1.2017
Sponsored by:
Siemens AG, Healthcare Sector, Erlangen
Contact:
Wetzl, Jens
Phone +49 9131 85 27874, Fax +49 9131 85 27270, E-Mail: jens.wetzl@fau.de
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