  Coherent diffractive imaging (CDI), using both X-rays and electrons, has made
extremely rapid progress over the past two decades. The associated
reconstruction algorithms are typically iterative, and seeded with a crude
first estimate. A deterministic method for Bragg Coherent Diffraction Imaging
(Pavlov et al., Sci. Rep. 7, 1132 (2017)) is used as a more refined starting
point for a shrink-wrap iterative reconstruction procedure. The appropriate
comparison with the autocorrelation function as a starting point is performed.
Real-space and Fourier-space error metrics are used to analyse the convergence
of the reconstruction procedure for noisy and noise-free simulated data. Our
results suggest that the use of deterministic-CDI reconstructions, as a seed
for subsequent iterative-CDI refinement, may boost the speed and degree of
convergence compared to the cruder seeds that are currently commonly used. We
also highlight the utility of monitoring multiple error metrics in the context
of iterative refinement.
