Abstract #2928

3D Multi-Parametric Acquisition of 3He Lung Ventilation Images, Lung Diffusion Morphometry and T2* Maps with Compressed Sensing

Ho-Fung Chan¹, Neil J. Stewart¹, Guilhem J. Collier¹, and Jim M. Wild¹

¹Academic Unit of Radiology, University of Sheffield, Sheffield, United Kingdom

Whole-lung coverage ³He ventilation images, maps of ADC, alveolar dimension (Lm_D), and T₂* were acquired in a single breath-hold using a multiple-interleaved 3D sequence with compressing sensing (CS). A fully-sampled three-interleaved ADC and T₂* dataset was acquired for CS simulations, to determine the optimal k-space undersampling patterns. A prospective, 3-fold undersampled 3D five-interleaved dataset was acquired with CS and parametric maps were compared to those calculated from fully-sampled datasets. CS-derived ADC and Lm_D values showed good agreement with fully-sampled equivalents. CS-derived T₂* values were lower than fully-sampled ones due to the smoothing process of the CS reconstruction.

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