A framework for spatial co-registration of 3He diffusion-weighted (DW)-MRI and high resolution CT (HRCT) images was developed and implemented in a cohort of fifteen idiopathic pulmonary fibrosis participants. Voxel-wise comparison of 3He DW-MRI derived apparent diffusion coefficient (ADC) and mean alveolar dimension (LmDÂ) with CALIPER image analysis software classifications revealed that the largest DW-MRI metrics are in voxels classified as honeycombing. Furthermore, LmD values in voxels classified as normal by CALIPER were larger than those from age-matched healthy volunteers, suggesting DW-MRI may detect microstructural changes even in areas of the lung determined as macroscopically normal by HRCT.
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