Abstract #1498

Improved SNR in Retrospective Respiratory Self-Gated 3D Human Lung MRI Using Image Registration

Stefan Weick¹,², Flavio Carinci,¹³, Cord Meyer¹,², Felix A. Breuer⁴, Frederick Mantel², Philip Kleine², Peter M. Jakob¹,⁴

¹Department of Experimental Physics 5, University of Wuerzburg, Wuerzburg, Bavaria, Germany; ²Department of Radiation Oncology, University Hospital Wuerzburg, Wuerzburg, Bavaria, Germany; ³MRB Research Center, Wuerzburg, Bavaria, Germany; ⁴Research Center Magnetic Resonance Bavaria e. V. (MRB), Wuerzburg, Bavaria, Germany

In this work, it is shown that image registration in combination with averaging allows for the reconstruction of 3D data sets of the human lung with improved SNR. Retrospective respiratory self-gating was first used to reconstruct 3D data sets of multiple respiratory phases. These data sets were then registered onto one target data set and finally averaged. The resulting data set shows improved SNR due to averaging. Additionally, the data set shows preserved motion artifact reduction although data from different respiratory phases were used within the reconstruction process.