Abstract #1608

Non-cartesian SENSE reconstruction of 3D UTE Cones for fast MR lung imaging

Konstantinos Zeimpekis^1,2, Klaas Pruessmann², Florian Wiesinger³, Patrick Veit-Haibach¹, and Gaspar Delso⁴

¹Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland, ²Information Technology and Electrical Engineering, ETHZ, Zurich, Switzerland, ³GE Global Research, Munich, Germany, ⁴GE Healthcare, Waukesha, WI, United States

This study is about a first attempt to use CG-SENSE parallel reconstruction for non-cartesian 3D Ultra-short Echo Time Cones sequence for lung imaging. Primary goal is to test under-sampled data that reduce the scan time effectively to one quarter of the fully sampled acquisition and check if the reconstruction manages to capture lung density signal to be used for accurate PET Attenuation Correction on a PET/MRI since conventional sequences that are currently used do not capture any. We test also the possibility for high resolution lung imaging from the undersampled data reconstructed with CG-SENSE algorithm.

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