Abstract #0546

Acquisition of Spatially-registered Helium-3 & Proton 3D Image Sets of the Lung in Less than 10 Seconds using Compressed Sensing

Kun Qing¹, Talissa A. Altes², Nicholas J. Tustison², Jaime F. Horta Coelho Mata², Grady W. Miller^2,3, Eduard E. De Lange², William A. Tobias³, Gordon D. Cates³, James R. Brookeman², John Philip Mugler^1,2

¹Biomedical Engineering, University of Virginia, Charlottesville, VA, USA; ²Radiology, University of Virginia; ³Physics, University of Virginia

Random undersampling combined with compressed-sensing reconstruction permits acquisition of 3D helium-3 and proton data sets, with isotropic 3.9-mm spatial resolution, during a 7-second breath hold. The resulting image quality is very similar to that obtained using a fully-sampled acquisition that requires almost 20 seconds. This capability should be valuable for quantitative assessment of ventilation defects in diseases such as asthma, CF or COPD.