Ho-Fung Chan1, Neil J. Stewart1, Juan Parra-Robles1, Guilhem J. Collier1, and Jim M. Wild1
Compressed sensing (CS) was implemented to reduce scan
time and facilitate acquisition of 3D multiple b-value 3He diffusion-weighted (DW) MRI data for whole
lung morphometry. A fully-sampled 3D DW-MRI dataset was retrospectively
undersampled using CS simulations to determine optimal k-space undersampling
patterns. Whole lung morphometry measurements derived from prospective 3-fold
undersampled 3D multiple b-value
DW-MRI were compared to 3D and 2D fully-sampled equivalents. Good agreement was
obtained between lung morphometry measurements indicating 3D multiple b-value 3He DW-MRI with CS can
provide reliable measurements of whole lung morphometry within a single
breath-hold.