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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 (LmD), 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 LmD 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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