Abstract #1845

Image Reconstruction System for Compressed Sensing Retrospective Motion Correction for the Application in Clinical Practice

Martin Schwartz^1,2, Thomas Küstner^1,2, Christian Würslin¹, Petros Martirosian¹, Nina F. Schwenzer³, Fritz Schick¹, Bin Yang², and Holger Schmidt³

¹Section on Experimental Radiology, Department of Radiology, University of Tuebingen, Tuebingen, Germany, ²Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany, ³Diagnostic and Interventional Radiology, Department of Radiology, University of Tuebingen, Tuebingen, Germany

Respiratory motion-free images are important in MRI of the human thorax and abdomen. A significant factor is the reconstruction of these images for the application in clinical practice. The objective of the presented work is an integration of an approved motion correction algorithm into the clinical environment to overcome limitations of offline reconstructed images by the utilization of external workstations. Therefore, a reconstruction pipeline based on the open-source framework Gadgetron with new modules for the integration of a motion correction algorithm is demonstrated.

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