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