Abstract
The confidence-weighted preimage is shown to have a "minimax" property such that it minimizes the worst case reconstruction error among all two-dimensional preimages derived linearly from three-dimensional, list-mode data, including the most likely position and profile preimages. However, we argue that improved performance can be obtained by not producing two-dimensional data from three-dimensional, list-mode data.