Adaptive reconstruction method for three-dimensional orientation imaging

Abstract

An adaptive orientation reconstruction algorithm is developed for near-field high-energy X-ray diffraction microscopy. When combined with a spatially adaptive extension the algorithm results in a factor of 10–1000 speed-up over the existing forward modeling reconstruction method while preserving most of the spatial and orientation resolution characteristics. Tests of the reconstruction code based on simulated structures and real data on a complex microstructure are presented. Simulated structures include intra-granular orientation gradients and noisy detector images. It is shown that resolution in both real space and orientation space degrades gracefully as complexity and detector noise increase.